11-13 Months | 28 Projects
7-8 Months | 14 Projects
6-7 Months | 12 Projects
4.5 Months | 45 Projects
11-13 Months | 28 Projects
7-8 Months | 14 Projects
9-11 Months | 24 Projects
8-10 Months | 20 Projects
8-10 Months | 20 Projects
6-7 Months | 12 Projects
3-4 Months | 6 Projects
4.5 Months | 45+ Projects
3 Months | 30 Projects
11-13 Months | 28 Projects
7-8 Months | 14 Projects
9-11 Months | 24 Projects
8-10 Months | 20 Projects
8-10 Months | 20 Projects
6-7 Months | 12 Projects
3-4 Months | 6 Projects
4.5 Months | 45+ Projects
3 Months | 30 Projects
Trainers from IIT, NIT and Top MNCs
Trainers from IIT, NIT and Top MNC’s
The comprehensive Full-stack Artificial Intelligence & Data Science course offers in-depth training in Python programming, covering topics such as Data Analytics, Web Scraping, Machine Learning, NLP, and Deep Learning. It also includes instruction in Database Management System, Data Visualization with Power BI & Tableau, and version control using GitHub. By completing this course, you will acquire extensive knowledge and proficiency in essential Data Science tools and techniques using Python.
The comprehensive Full-stack Artificial Intelligence & Data Science course offers in-depth training in Python programming, covering topics such as Data Analytics, Web Scraping, Machine Learning, NLP, and Deep Learning. It also includes instruction in Database Management System, Data Visualization with Power BI & Tableau, and version control using GitHub. By completing this course, you will acquire extensive knowledge and proficiency in essential Data Science tools and techniques using Python.
Benefits
Data science is witnessing an exponential surge in demand in India, projected to grow by 200% by 2026. This surge makes it an attractive and profitable career choice. Additionally, India ranks second globally in recruiting data science professionals, and the industry is expected to reach a remarkable value of USD 119 billion by 2026, creating an impressive 11 million job opportunities.
Dual Certification
Be in demand with Microsoft certification
Real-world experience for a competitive edge
Gain Competitive Edge with Real-World Work Experience
Who This Program Is For?
Who This Program Is For?
Tech degree with good academic performance
Open to all levels of experience
Early to mid-career professionals seeking data expertise
Aspiration for data-driven excellence and strategic optimization
Tech degree with good academic performance
Open to all levels of experience
Early to mid-career professionals seeking data expertise
Aspiration for data-driven excellence and strategic optimization
Leverage our vast industry network's influence
Syllabus
Syllabus
1stepGrow offers a comprehensive Artificial Intelligence and Data Science course, designed by industry experts. The program includes hands-on learning with real-world projects, live interactive classes, and guaranteed job referrals. Immerse yourself in the world of data and AI for practical experience and a competitive edge in the job market.
1stepGrow offers a comprehensive Artificial Intelligence and Data Science course, designed by industry experts. The program includes hands-on learning with real-world projects, live interactive classes, and guaranteed job referrals. Immerse yourself in the world of data and AI for practical experience and a competitive edge in the job market.
This course offers a comprehensive introduction to Git, a version control system, and GitHub, a popular platform for collaborative software development. Learn to effectively share and store work using these tools.
Introduction to Version Control Systems
Git Basics
Working with Git Remotely
Collaborating with GitHub
This course provides a comprehensive guide to optimizing your LinkedIn profile for professional success and networking opportunities.
Python is a versatile programming language widely used in data analytics and data science. With its rich libraries and frameworks like NumPy, Pandas, and scikit-learn, Python enables efficient data manipulation, analysis, and modelling, making it an essential tool for extracting insights from data.
NumPy
Pandas
Matplotlib
Seaborn
EDA Project
Analyze Data to Gain Insights and Identify Patterns – Use concepts like Remove duplicates, handle missing values, Calculate basic statistics like mean, median, and standard deviation to summarize the data. Create charts and graphs to visualize trends, patterns, and data behaviour.
Tools: Python: Jupyter Notebook – Pandas, NumPy, Matplotlib and Seaborn for analysis
Statistics and Machine Learning involve analyzing and interpreting data to gain insights and make predictions. Statistics focuses on data description, inference, and hypothesis testing, while Machine Learning involves developing algorithms and models to learn patterns and make predictions from data.
Time-Series Data Analysis involves studying data points collected over time to uncover patterns, trends, and seasonality. It is used in forecasting and predicting future values. Text Data Analysis involves processing and extracting insights from unstructured textual data, such as sentiment analysis, topic modelling, and text classification.
Reinforcement Learning is a subfield of machine learning where an agent learns to make sequential decisions by interacting with an environment. Deep Learning, on the other hand, is a subset of machine learning that focuses on using artificial neural networks to model and understand complex patterns in data.
Module 1: Reinforcement Learning
Module 2: Deep Learning & Computer Vision
Module 3: Generative AI and Large Language Models (LLMs)
Database management involves the storage, organization, and retrieval of data. Structured databases use predefined schemas and are suitable for tabular data, while unstructured databases store data in flexible formats like text, images, and multimedia. Both are essential for efficient data management in various applications.
Introduction to SQL
SQL Basics
Advanced SQL Queries
Database Design and Normalization
Advanced Database Concepts
Introduction to MongoDB
MongoDB Basics
Advanced MongoDB Queries
MongoDB Administration
MongoDB and Programming Languages
Data Visualization is presenting data in visual formats such as charts, graphs, and maps to facilitate understanding and gain insights. We can use various tools. This course covers 3 of the most popular data visualization & analytics tools to add in your arsenal: Power BI, Tableau & Excel for Data Analytics
Introduction to Power BI
Data Preparation and Modeling
Data Visualization Techniques
Advanced Analytics in Power BI
Power BI Sharing and Collaboration
Introduction to Tableau
Data Preparation and Transformation
Building Visualizations in Tableau
Advanced Analytics in Tableau
Tableau Dashboards and Storytelling
Tableau Sharing and Collaboration
Module 3: Excel for Analytics
Introduction to Excel for Analytics
Data Preparation and Cleaning
Data Analysis Techniques in Excel
Advanced Excel Analytics
The process of collecting, storing, and processing large volumes of data from various sources to extract valuable insights. Tools like Hadoop, Spark, and Kafka enable efficient handling, analysis, and integration of big data for decision-making and data-driven applications.
The process of deploying machine learning models and data science applications on cloud platforms, enabling scalable and accessible solutions for real-time predictions and insights.
This course offers a comprehensive introduction to Git, a version control system, and GitHub, a popular platform for collaborative software development. Learn to effectively share and store work using these tools.
Introduction to Version Control Systems
Git Basics
Working with Git Remotely
Collaborating with GitHub
This course provides a comprehensive guide to optimizing your LinkedIn profile for professional success and networking opportunities.
Python is a versatile programming language widely used in data analytics and data science. With its rich libraries and frameworks like NumPy, Pandas, and scikit-learn, Python enables efficient data manipulation, analysis, and modelling, making it an essential tool for extracting insights from data.
NumPy
Pandas
Matplotlib
Seaborn
EDA Project
Analyze Data to Gain Insights and Identify Patterns – Use concepts like Remove duplicates, handle missing values, Calculate basic statistics like mean, median, and standard deviation to summarize the data. Create charts and graphs to visualize trends, patterns, and data behaviour.
Tools: Python: Jupyter Notebook – Pandas, NumPy, Matplotlib and Seaborn for analysis
Statistics and Machine Learning involve analyzing and interpreting data to gain insights and make predictions. Statistics focuses on data description, inference, and hypothesis testing, while Machine Learning involves developing algorithms and models to learn patterns and make predictions from data.
Time-Series Data Analysis involves studying data points collected over time to uncover patterns, trends, and seasonality. It is used in forecasting and predicting future values. Text Data Analysis involves processing and extracting insights from unstructured textual data, such as sentiment analysis, topic modelling, and text classification.
Reinforcement Learning is a subfield of machine learning where an agent learns to make sequential decisions by interacting with an environment. Deep Learning, on the other hand, is a subset of machine learning that focuses on using artificial neural networks to model and understand complex patterns in data.
Module 1: Reinforcement Learning
Module 2: Deep Learning & Computer Vision
Module 3: Generative AI and Large Language Models (LLMs)
Database management involves the storage, organization, and retrieval of data. Structured databases use predefined schemas and are suitable for tabular data, while unstructured databases store data in flexible formats like text, images, and multimedia. Both are essential for efficient data management in various applications.
Introduction to SQL
SQL Basics
Advanced SQL Queries
Database Design and Normalization
Advanced Database Concepts
Introduction to MongoDB
MongoDB Basics
Advanced MongoDB Queries
MongoDB Administration
MongoDB and Programming Languages
Data Visualization is presenting data in visual formats such as charts, graphs, and maps to facilitate understanding and gain insights. We can use various tools. This course covers 3 of the most popular data visualization & analytics tools to add in your arsenal: Power BI, Tableau & Excel for Data Analytics
Introduction to Power BI
Data Preparation and Modeling
Data Visualization Techniques
Advanced Analytics in Power BI
Power BI Sharing and Collaboration
Introduction to Tableau
Data Preparation and Transformation
Building Visualizations in Tableau
Advanced Analytics in Tableau
Tableau Dashboards and Storytelling
Tableau Sharing and Collaboration
Module 3: Excel for Analytics
Introduction to Excel for Analytics
Data Preparation and Cleaning
Data Analysis Techniques in Excel
Advanced Excel Analytics
The process of collecting, storing, and processing large volumes of data from various sources to extract valuable insights. Tools like Hadoop, Spark, and Kafka enable efficient handling, analysis, and integration of big data for decision-making and data-driven applications.
The process of deploying machine learning models and data science applications on cloud platforms, enabling scalable and accessible solutions for real-time predictions and insights.
Industry Projects
Industry Projects
Gain insights into public sentiment on financial news through sentiment analysis, aiding informed investment decisions. Apply data mining techniques to correlate news topics and exchanges with stock price movements for accurate short-term predictions in algorithmic trading strategies.
Perform a clinical trial project using a dataset on medicines’ usage, side effects, and substitutes. Analyze the effectiveness of different medications, identify potential side effects, and explore alternative treatment options. Apply statistical analysis and data visualization techniques to derive meaningful insights for improving patient care and optimizing medication strategies.
Perform RFM analysis on customer data in the e-commerce industry to segment customers based on their recency, frequency, and monetary value, enabling targeted marketing strategies and customer retention efforts.
Analyze historical call data, seasonality, and other factors to implement a call volume forecasting system that accurately predicts the incoming call volumes and provide accurate forecasts, enabling the call centre to optimize staffing levels, allocate resources efficiently, and enhance customer service.
Apply machine learning algorithms and techniques to develop a predictive model that can identify patterns and indicators to accurately predict customers at risk of churning. Thereby enable telecom companies to take proactive measures and implement targeted retention strategies to reduce customer churn and improve customer satisfaction.
Build model by Analyzing patterns and preferences of users with similar tastes that recommends movies aligned with the interests of the user. Use data preprocessing, feature extraction, and training using concepts such as matrix factorization, content-based filtering, and collaborative filtering to achieve project outcome.
Optimize the supply chain of products, storage and its movement using real-time data. Forecast demand, optimize inventory levels, and improve logistics efficiency.
With aim to enhance cement quality and optimize strength characteristics use analytics and machine learning algorithms to analyze data from their production processes, raw materials, and environmental conditions
Create an algorithm for early detection of common pests and diseases affecting crops using image processing techniques and deep learning algorithms that shall lead to improved crop health and higher yields in the agriculture industry. Use some pre-trained models for feature extraction and classification.
Wide Range Of Tools & Modules
What makes us Unique?
Generic program for all, not catering to specific needs of freshers or working professionals.
Insufficient emphasis on hands-on projects and lack of customization for working professionals.
Inflexible doubt-solving schedules with inadequate 1:1 guidance and mentor support.
Fixed schedules that may not accommodate the requirements of working professionals.
Tailored and delivered by industry experts for relevance and confidence.
Hands-on approach to solve real-world problems with expert guidance.
Individualized mentorship from industry experts to guide and support your learning journey.
Customized doubt-clearing sessions, flexible batch options, and interactive live sessions.
Generic program for all, not catering to specific needs of freshers or working professionals.
Insufficient emphasis on hands-on projects and lack of customization for working professionals.
Inflexible doubt-solving schedules with inadequate 1:1 guidance and mentor support.
Customized doubt-clearing sessions, flexible batch options, and interactive live sessions.
Enroll in live courses and receive three years of support, with options to join multiple batches and learn from various instructors.
Access class recordings to ensure you don’t miss any sessions.
Get individual doubt clearing sessions from experts.
Specially scheduled batches to accommodate the needs of working professionals.
Enjoy lifetime access to course materials, assignments, and videos, along with extended support.
Program Fee & Financing
Invest in your future with quality education
BFSI
Healthcare
Manufacturing
Energy, Oil & Gas
Supply Chain & Ops
E-commerce & Retail
Marketing
Automotive
Technology
Hospitality & Tourism
Real Estate
BFSI
Healthcare
Manufacturing
Energy, Oil & Gas
Supply Chain & Ops
E-commerce & Retail
Marketing
Automotive
Technology
Hospitality & Tourism
Real Estate
Thanks to 1stepGrow team, I am a successful Data Scientist. Transitioning from a teacher to the data science field was challenging, but the support and real-time project experience provided by 1stepGrow during the COVID pandemic made a significant difference. I am grateful for the personalized training and guidance from Ravi and the team. Today, I am proud to be working as a Data Scientist at Shyena Tech Yarn.
Coming from a mechanical background, I enrolled in 1stepgrow's data science program. The mentors provided exceptional support, helping me understand the concepts. Their guidance was invaluable, leading me to secure a job even before completing the program. The personalized attention and focused learning approach allowed me to ask multiple doubts and receive proper guidance.
My experience with 1stepGrow was fantastic. Their exceptional support enabled me to transition to the data science team in my company. Through hands-on work in the IT domain, I gained a deep understanding of the practical aspects of being a data scientist. The journey was seamless, thanks to the real-world experience provided by 1stepGrow.
1stepGrow is an excellent training institute for data science. Despite being a startup, I opted for them due to their small batch size. The vibrant class environment and interactive trainers greatly enhanced my skills. The encouraging atmosphere allowed me to ask questions and actively participate. Within just 6 months, I achieved success as a data analyst. My journey with 1stepGrow was truly amazing.
NEXT COHORTS DATES
Weekday Batch
(Mon-Fri)
Weekend Batch
(Sat-Sun)
NEXT COHORTS DATES
Weekday Batch
(Mon-Fri)
Weekend Batch
(Sat-Sun)
Learn More About Your Learning Options
The Full-stack Artificial Intelligence and Data Science Course is designed to cater to beginners and starts with the fundamentals. While having basic technical knowledge and familiarity with programming concepts would be helpful, the course is structured to accommodate learners from diverse backgrounds and equip them with the necessary skills to excel in the field of artificial intelligence and data science.
This comprehensive Artificial Intelligence and Data Science Course equips students with a deep understanding of the entire data science program. The course covers the following components:
Certainly! You are welcome to enroll in the Full-stack Artificial Intelligence and Data Science Course. While the program is recommended for candidates with a basic understanding of applied mathematics/statistics and some exposure to technology/tools like Python/R programming, it is open to individuals from various backgrounds, including those without prior programming experience.
If you’re not eligible for the Full-stack Artificial Intelligence and Data Science Course due to a lack of data exposure, don’t worry! We offer a foundational course in Data Science & Machine Learning that can enable you to achieve your goal of learning data science and pave the way for a career in this field.
At our Artificial Intelligence and Data Science Course, we prioritize quality training through personalized attention. To foster an effective and engaging learning environment, we maintain small batch sizes, with a maximum limit of 15 students. This approach ensures ample interaction with mentors and promotes a conducive learning atmosphere.
Enrolling in our Full-stack Artificial Intelligence and Data Science Course grants students a 3-year subscription. This extended duration ensures continuous access to live class support, mentorship from the institute, and job referrals throughout the subscription period.
The online training program for the Full-stack Artificial Intelligence and Data Science Course offers students several distinct benefits:
The duration of the Artificial Intelligence and Data Science Course is approximately 11 months (360 hours). It includes live training sessions, hands-on training on live projects, and interview preparations. Classes are conducted on both weekdays and weekends. The weekday batch spans 9 months, with classes from Monday to Friday for 2 hours per day. The weekend batch lasts for 11 months, with classes on Saturdays and Sundays for 3.5 hours per day.
In the Artificial Intelligence and Data Science Course, instructor-led online training refers to a dynamic and engaging learning approach where students actively participate in live sessions conducted by experienced trainers. This interactive training model promotes interaction between students and trainers, fostering a conducive environment for learning.
In the Artificial Intelligence and Data Science Course, if you miss a live session, you can still access the recorded session. The instructor-led online training format ensures that you have the flexibility to catch up on missed sessions and review the content and notes at your convenience. This allows you to stay up-to-date with the course materials and continue your learning journey effectively.
A smaller batch size in the Artificial Intelligence and Data Science Course creates an environment that promotes effective learning. With fewer students, there is more opportunity for individuals to address their queries and concerns during the session. Additionally, the trainer can maintain an optimal pace in delivering the course content while ensuring that student queries are adequately addressed.
Absolutely! We encourage active student participation and questions during the live training sessions in the Artificial Intelligence and Data Science Course. Our aim is to create an engaging learning environment where students can interact with the trainer and seek clarification on any doubts or queries they may have. To ensure effective interaction, we limit the class size to a maximum of 15 students per batch.
The Full-stack AI and Data Science Course propels your career in artificial intelligence and data science. Gain expertise in cutting-edge concepts, advanced tools, and industry-relevant technologies to tackle real-world challenges. With the increasing demand for AI and data science professionals, this course enhances your career prospects and opens doors to exciting opportunities. Explore tools like Python, TensorFlow, scikit-learn, NLP, Deep Learning, DBMS, Data Visualization and other analytics tools to excel in this domain.
Answer: Yes, to evaluate your progress and understanding of the concepts taught, there will be periodic assessments and exams throughout the Full-stack Artificial Intelligence and Data Science Course. These evaluations are designed to ensure that you have a strong grasp of the topics covered and to help you identify areas that may require additional focus.
Yes, upon completing the Full-stack Artificial Intelligence and Data Science Course, you will receive lifetime access to the course materials. This includes recordings of the live sessions, class notes, assignments, and other learning resources. This ensures that you can refer back to the content whenever you need to revise or revisit any topic covered during the course.
Yes, the learning materials for the Full-stack Artificial Intelligence and Data Science Course, including recorded sessions, assignments, and course materials, are accessible through our online learning platform. This allows you to access the content on your mobile device, giving you the flexibility to learn on the go.
We understand that sometimes you may need to switch between batches to cover missed modules. If such a situation arises during the Full-stack Artificial Intelligence and Data Science Course, you can contact our support team, and they will assist you in making the necessary batch transfer arrangements, depending on the availability of seats in the desired batch.
During the Full-stack Artificial Intelligence and Data Science Course, you can expect comprehensive support from our team. This includes live class support, doubt-solving sessions, discussion forums, mentorship, and access to the learning materials. Our aim is to ensure that you have a smooth learning journey and that all your queries and concerns are addressed promptly
Certainly! Practical training is a crucial component of the Full-stack Artificial Intelligence and Data Science Course. You will have the opportunity to work on real-world projects, applying artificial intelligence and data science techniques to solve complex problems. This hands-on experience will enhance your skills and boost your confidence in tackling industry-relevant projects.
Real-time projects in the Full-stack Artificial Intelligence and Data Science Course are based on industry data, with confidential information modified to protect privacy. These projects provide students with the opportunity to apply concepts and algorithms to real datasets, enabling them to gain practical experience. The course includes 21 industry projects that cover various scenarios, allowing students to practice the tools and techniques they have learned.
Domain specializations in the Full-stack Artificial Intelligence and Data Science Course involve industry-specific training through capstone projects and mentorship. These projects are sourced from different industries, and mentors guide students in understanding the projects within the context of specific domains. Domain specializations are important as they enhance students’ knowledge, provide practical exposure to real-world scenarios, and increase their chances of clearing interviews.
The Full-stack Artificial Intelligence and Data Science Course includes up to 3 end-to-end Capstone projects. These projects provide students with opportunities to apply their knowledge and gain practical experience by working on real-world scenarios in the field of artificial intelligence and data science.
Project experience in our Full-stack Artificial Intelligence and Data Science Course involves working on industry projects related to domain specializations. Students collaborate in groups with assigned mentors. After successful completion, the project is assessed by our institute and partner company. If it meets the required standards, we issue a project experience certificate, certifying your practical experience.
Yes, you will have the privilege of accessing industry experts and mentors throughout the Full-stack Artificial Intelligence and Data Science Course. Our instructors, who possess practical industry knowledge, will serve as your guides and mentors, providing expert insights and guidance to ensure you receive comprehensive support and valuable perspectives.
Yes, the Full-stack Artificial Intelligence and Data Science Course provides a dedicated community forum where students can interact, collaborate, and engage with each other. This forum serves as a platform for students to discuss their queries, share ideas, and collaborate on projects, fostering a supportive learning community within the field of artificial intelligence and data science.
At 1stepGrow, we provide a student forum exclusively for our course participants. If you have any doubts or encounter errors while practicing, you can post your queries on the forum. Our trainers and fellow students are actively engaged on the forum and will provide you with the necessary answers and assistance.
In the Full-stack Artificial Intelligence and Data Science Course, we prioritize the resolution of doubts. We conduct doubt-solving sessions within the class to address queries in real-time. Additionally, at the end of every module, we organize dedicated doubt-solving sessions to ensure a comprehensive understanding of the course topics.
Certainly! Practical training is a crucial component of the Full-stack Artificial Intelligence and Data Science Course. You will have the opportunity to work on real-world projects, applying artificial intelligence and data science techniques to solve complex problems. This hands-on experience will enhance your skills and boost your confidence in tackling industry-relevant projects.
Real-time projects in the Full-stack Artificial Intelligence and Data Science Course are based on industry data, with confidential information modified to protect privacy. These projects provide students with the opportunity to apply concepts and algorithms to real datasets, enabling them to gain practical experience. The course includes 21 industry projects that cover various scenarios, allowing students to practice the tools and techniques they have learned.
Domain specializations in the Full-stack Artificial Intelligence and Data Science Course involve industry-specific training through capstone projects and mentorship. These projects are sourced from different industries, and mentors guide students in understanding the projects within the context of specific domains. Domain specializations are important as they enhance students’ knowledge, provide practical exposure to real-world scenarios, and increase their chances of clearing interviews.
The Full-stack Artificial Intelligence and Data Science Course includes up to 3 end-to-end Capstone projects. These projects provide students with opportunities to apply their knowledge and gain practical experience by working on real-world scenarios in the field of artificial intelligence and data science.
Project experience in our Full-stack Artificial Intelligence and Data Science Course involves working on industry projects related to domain specializations. Students collaborate in groups with assigned mentors. After successful completion, the project is assessed by our institute and partner company. If it meets the required standards, we issue a project experience certificate, certifying your practical experience.
Yes, you will have the privilege of accessing industry experts and mentors throughout the Full-stack Artificial Intelligence and Data Science Course. Our instructors, who possess practical industry knowledge, will serve as your guides and mentors, providing expert insights and guidance to ensure you receive comprehensive support and valuable perspectives.
Yes, the Full-stack Artificial Intelligence and Data Science Course provides a dedicated community forum where students can interact, collaborate, and engage with each other. This forum serves as a platform for students to discuss their queries, share ideas, and collaborate on projects, fostering a supportive learning community within the field of artificial intelligence and data science.
At 1stepGrow, we provide a student forum exclusively for our course participants. If you have any doubts or encounter errors while practicing, you can post your queries on the forum. Our trainers and fellow students are actively engaged on the forum and will provide you with the necessary answers and assistance.
In the Full-stack Artificial Intelligence and Data Science Course, we prioritize the resolution of doubts. We conduct doubt-solving sessions within the class to address queries in real-time. Additionally, at the end of every module, we organize dedicated doubt-solving sessions to ensure a comprehensive understanding of the course topics.
The Job Assistance program is an integral part of our Full-stack Artificial Intelligence and Data Science Course. It is designed to provide comprehensive support to our students in their job search. The program includes various steps to assist students in pursuing their dream jobs in the market.
Mock interviews for the Full-stack Artificial Intelligence and Data Science Course are conducted online through video mode. Within a week, you will receive feedback on your performance. By reviewing the recorded video, you can identify areas for improvement in both soft skills and technical skills. In this course, you are eligible for up to 3 mock interviews.
Absolutely! Upon successful completion of the Full-stack Artificial Intelligence and Data Science Course, we provide comprehensive job assistance to our students. Our dedicated placement cell offers support in resume building, interview preparation, and connects students with relevant job opportunities in the field of artificial intelligence and data science. We are committed to helping our students transition into successful careers in the industry.
We offer unlimited job referrals to our students enrolled in the Full-stack Artificial Intelligence and Data Science Course throughout the subscription period. Our dedicated placement assistance ensures that your profile is referred to our partnered consultancies and companies.
To be eligible for job assistance from 1stepGrow, you need to meet certain criteria. These include scoring 70% or higher in all assessment tests, timely completion and submission of assignments, real-time project submission, and completion of at least 2 Capstone projects.
Yes, upon successful completion of the Full-stack Artificial Intelligence and Data Science Course, you will receive a Course Completion Certificate from 1stepGrow.
Yes, we offer academic certifications to validate your knowledge and skills. Through our partnership with Microsoft, you will receive training for the Microsoft AI certification. Upon passing the certification test, you will be awarded a globally recognized AI certificate by Microsoft.
Yes, by working on domain-specialized industry projects, you will gain project experience. Upon successful completion of the project, you will be awarded a Project Experience Certificate by our partnered company.
As a college student or fresher, gaining an internship certification is valuable. Our program provides opportunities to work on industry projects, which can earn you recognition for an internship.
As an on-job professional, an internship certification may not be relevant. However, our program offers industry projects that provide project experience from reputable companies. This project experience certification is more suitable for professionals like you and can contribute to your career growth.
A project experience certification from a company holds significant value as it validates your practical skills and demonstrates your ability to apply knowledge in real-world scenarios. It enhances your profile and increases your credibility in the industry.
The Full-stack Artificial Intelligence and Data Science Course is designed to cater to beginners and starts with the fundamentals. While having basic technical knowledge and familiarity with programming concepts would be helpful, the course is structured to accommodate learners from diverse backgrounds and equip them with the necessary skills to excel in the field of artificial intelligence and data science.
This comprehensive Artificial Intelligence and Data Science Course equips students with a deep understanding of the entire data science program. The course covers the following components:
Certainly! You are welcome to enroll in the Full-stack Artificial Intelligence and Data Science Course. While the program is recommended for candidates with a basic understanding of applied mathematics/statistics and some exposure to technology/tools like Python/R programming, it is open to individuals from various backgrounds, including those without prior programming experience.
If you’re not eligible for the Full-stack Artificial Intelligence and Data Science Course due to a lack of data exposure, don’t worry! We offer a foundational course in Data Science & Machine Learning that can enable you to achieve your goal of learning data science and pave the way for a career in this field.
At our Artificial Intelligence and Data Science Course, we prioritize quality training through personalized attention. To foster an effective and engaging learning environment, we maintain small batch sizes, with a maximum limit of 15 students. This approach ensures ample interaction with mentors and promotes a conducive learning atmosphere.
Enrolling in our Full-stack Artificial Intelligence and Data Science Course grants students a 3-year subscription. This extended duration ensures continuous access to live class support, mentorship from the institute, and job referrals throughout the subscription period.
The online training program for the Full-stack Artificial Intelligence and Data Science Course offers students several distinct benefits:
The duration of the Artificial Intelligence and Data Science Course is approximately 11 months (360 hours). It includes live training sessions, hands-on training on live projects, and interview preparations. Classes are conducted on both weekdays and weekends. The weekday batch spans 9 months, with classes from Monday to Friday for 2 hours per day. The weekend batch lasts for 11 months, with classes on Saturdays and Sundays for 3.5 hours per day.
In the Artificial Intelligence and Data Science Course, instructor-led online training refers to a dynamic and engaging learning approach where students actively participate in live sessions conducted by experienced trainers. This interactive training model promotes interaction between students and trainers, fostering a conducive environment for learning.
In the Artificial Intelligence and Data Science Course, if you miss a live session, you can still access the recorded session. The instructor-led online training format ensures that you have the flexibility to catch up on missed sessions and review the content and notes at your convenience. This allows you to stay up-to-date with the course materials and continue your learning journey effectively.
A smaller batch size in the Artificial Intelligence and Data Science Course creates an environment that promotes effective learning. With fewer students, there is more opportunity for individuals to address their queries and concerns during the session. Additionally, the trainer can maintain an optimal pace in delivering the course content while ensuring that student queries are adequately addressed.
Absolutely! We encourage active student participation and questions during the live training sessions in the Artificial Intelligence and Data Science Course. Our aim is to create an engaging learning environment where students can interact with the trainer and seek clarification on any doubts or queries they may have. To ensure effective interaction, we limit the class size to a maximum of 15 students per batch.
The Full-stack AI and Data Science Course propels your career in artificial intelligence and data science. Gain expertise in cutting-edge concepts, advanced tools, and industry-relevant technologies to tackle real-world challenges. With the increasing demand for AI and data science professionals, this course enhances your career prospects and opens doors to exciting opportunities. Explore tools like Python, TensorFlow, scikit-learn, NLP, Deep Learning, DBMS, Data Visualization and other analytics tools to excel in this domain.
Answer: Yes, to evaluate your progress and understanding of the concepts taught, there will be periodic assessments and exams throughout the Full-stack Artificial Intelligence and Data Science Course. These evaluations are designed to ensure that you have a strong grasp of the topics covered and to help you identify areas that may require additional focus.
Yes, upon completing the Full-stack Artificial Intelligence and Data Science Course, you will receive lifetime access to the course materials. This includes recordings of the live sessions, class notes, assignments, and other learning resources. This ensures that you can refer back to the content whenever you need to revise or revisit any topic covered during the course.
Yes, the learning materials for the Full-stack Artificial Intelligence and Data Science Course, including recorded sessions, assignments, and course materials, are accessible through our online learning platform. This allows you to access the content on your mobile device, giving you the flexibility to learn on the go.
We understand that sometimes you may need to switch between batches to cover missed modules. If such a situation arises during the Full-stack Artificial Intelligence and Data Science Course, you can contact our support team, and they will assist you in making the necessary batch transfer arrangements, depending on the availability of seats in the desired batch.
During the Full-stack Artificial Intelligence and Data Science Course, you can expect comprehensive support from our team. This includes live class support, doubt-solving sessions, discussion forums, mentorship, and access to the learning materials. Our aim is to ensure that you have a smooth learning journey and that all your queries and concerns are addressed promptly
Certainly! Practical training is a crucial component of the Full-stack Artificial Intelligence and Data Science Course. You will have the opportunity to work on real-world projects, applying artificial intelligence and data science techniques to solve complex problems. This hands-on experience will enhance your skills and boost your confidence in tackling industry-relevant projects.
Real-time projects in the Full-stack Artificial Intelligence and Data Science Course are based on industry data, with confidential information modified to protect privacy. These projects provide students with the opportunity to apply concepts and algorithms to real datasets, enabling them to gain practical experience. The course includes 21 industry projects that cover various scenarios, allowing students to practice the tools and techniques they have learned.
Domain specializations in the Full-stack Artificial Intelligence and Data Science Course involve industry-specific training through capstone projects and mentorship. These projects are sourced from different industries, and mentors guide students in understanding the projects within the context of specific domains. Domain specializations are important as they enhance students’ knowledge, provide practical exposure to real-world scenarios, and increase their chances of clearing interviews.
The Full-stack Artificial Intelligence and Data Science Course includes up to 3 end-to-end Capstone projects. These projects provide students with opportunities to apply their knowledge and gain practical experience by working on real-world scenarios in the field of artificial intelligence and data science.
Project experience in our Full-stack Artificial Intelligence and Data Science Course involves working on industry projects related to domain specializations. Students collaborate in groups with assigned mentors. After successful completion, the project is assessed by our institute and partner company. If it meets the required standards, we issue a project experience certificate, certifying your practical experience.
Yes, you will have the privilege of accessing industry experts and mentors throughout the Full-stack Artificial Intelligence and Data Science Course. Our instructors, who possess practical industry knowledge, will serve as your guides and mentors, providing expert insights and guidance to ensure you receive comprehensive support and valuable perspectives.
Yes, the Full-stack Artificial Intelligence and Data Science Course provides a dedicated community forum where students can interact, collaborate, and engage with each other. This forum serves as a platform for students to discuss their queries, share ideas, and collaborate on projects, fostering a supportive learning community within the field of artificial intelligence and data science.
At 1stepGrow, we provide a student forum exclusively for our course participants. If you have any doubts or encounter errors while practicing, you can post your queries on the forum. Our trainers and fellow students are actively engaged on the forum and will provide you with the necessary answers and assistance.
In the Full-stack Artificial Intelligence and Data Science Course, we prioritize the resolution of doubts. We conduct doubt-solving sessions within the class to address queries in real-time. Additionally, at the end of every module, we organize dedicated doubt-solving sessions to ensure a comprehensive understanding of the course topics.
Certainly! Practical training is a crucial component of the Full-stack Artificial Intelligence and Data Science Course. You will have the opportunity to work on real-world projects, applying artificial intelligence and data science techniques to solve complex problems. This hands-on experience will enhance your skills and boost your confidence in tackling industry-relevant projects.
Real-time projects in the Full-stack Artificial Intelligence and Data Science Course are based on industry data, with confidential information modified to protect privacy. These projects provide students with the opportunity to apply concepts and algorithms to real datasets, enabling them to gain practical experience. The course includes 21 industry projects that cover various scenarios, allowing students to practice the tools and techniques they have learned.
Domain specializations in the Full-stack Artificial Intelligence and Data Science Course involve industry-specific training through capstone projects and mentorship. These projects are sourced from different industries, and mentors guide students in understanding the projects within the context of specific domains. Domain specializations are important as they enhance students’ knowledge, provide practical exposure to real-world scenarios, and increase their chances of clearing interviews.
The Full-stack Artificial Intelligence and Data Science Course includes up to 3 end-to-end Capstone projects. These projects provide students with opportunities to apply their knowledge and gain practical experience by working on real-world scenarios in the field of artificial intelligence and data science.
Project experience in our Full-stack Artificial Intelligence and Data Science Course involves working on industry projects related to domain specializations. Students collaborate in groups with assigned mentors. After successful completion, the project is assessed by our institute and partner company. If it meets the required standards, we issue a project experience certificate, certifying your practical experience.
Yes, you will have the privilege of accessing industry experts and mentors throughout the Full-stack Artificial Intelligence and Data Science Course. Our instructors, who possess practical industry knowledge, will serve as your guides and mentors, providing expert insights and guidance to ensure you receive comprehensive support and valuable perspectives.
Yes, the Full-stack Artificial Intelligence and Data Science Course provides a dedicated community forum where students can interact, collaborate, and engage with each other. This forum serves as a platform for students to discuss their queries, share ideas, and collaborate on projects, fostering a supportive learning community within the field of artificial intelligence and data science.
At 1stepGrow, we provide a student forum exclusively for our course participants. If you have any doubts or encounter errors while practicing, you can post your queries on the forum. Our trainers and fellow students are actively engaged on the forum and will provide you with the necessary answers and assistance.
In the Full-stack Artificial Intelligence and Data Science Course, we prioritize the resolution of doubts. We conduct doubt-solving sessions within the class to address queries in real-time. Additionally, at the end of every module, we organize dedicated doubt-solving sessions to ensure a comprehensive understanding of the course topics.
The Job Assistance program is an integral part of our Full-stack Artificial Intelligence and Data Science Course. It is designed to provide comprehensive support to our students in their job search. The program includes various steps to assist students in pursuing their dream jobs in the market.
Mock interviews for the Full-stack Artificial Intelligence and Data Science Course are conducted online through video mode. Within a week, you will receive feedback on your performance. By reviewing the recorded video, you can identify areas for improvement in both soft skills and technical skills. In this course, you are eligible for up to 3 mock interviews.
Absolutely! Upon successful completion of the Full-stack Artificial Intelligence and Data Science Course, we provide comprehensive job assistance to our students. Our dedicated placement cell offers support in resume building, interview preparation, and connects students with relevant job opportunities in the field of artificial intelligence and data science. We are committed to helping our students transition into successful careers in the industry.
We offer unlimited job referrals to our students enrolled in the Full-stack Artificial Intelligence and Data Science Course throughout the subscription period. Our dedicated placement assistance ensures that your profile is referred to our partnered consultancies and companies.
To be eligible for job assistance from 1stepGrow, you need to meet certain criteria. These include scoring 70% or higher in all assessment tests, timely completion and submission of assignments, real-time project submission, and completion of at least 2 Capstone projects.
Yes, upon successful completion of the Full-stack Artificial Intelligence and Data Science Course, you will receive a Course Completion Certificate from 1stepGrow.
Yes, we offer academic certifications to validate your knowledge and skills. Through our partnership with Microsoft, you will receive training for the Microsoft AI certification. Upon passing the certification test, you will be awarded a globally recognized AI certificate by Microsoft.
Yes, by working on domain-specialized industry projects, you will gain project experience. Upon successful completion of the project, you will be awarded a Project Experience Certificate by our partnered company.
As a college student or fresher, gaining an internship certification is valuable. Our program provides opportunities to work on industry projects, which can earn you recognition for an internship.
As an on-job professional, an internship certification may not be relevant. However, our program offers industry projects that provide project experience from reputable companies. This project experience certification is more suitable for professionals like you and can contribute to your career growth.
A project experience certification from a company holds significant value as it validates your practical skills and demonstrates your ability to apply knowledge in real-world scenarios. It enhances your profile and increases your credibility in the industry.
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