Live Interactive Classes
Hiring Partners
Guaranteed Job Referrals
Avg. Salary Hike
The Advanced Data Science and AI Course is designed for working professionals, offering 480+ hours of live training, 28+ industry projects, and a 3-year flexible subscription. This Generative AI integrated course provides dual certification, 100% job assistance, and personalised mentorship from experts, ensuring you gain practical skills and industry recognition to advance your career in data science and AI.
The Advanced Data Science and AI Course is designed for working professionals, offering 480+ hours of live training, 28+ industry projects, and a 3-year flexible subscription. This Generative AI integrated course provides dual certification, 100% job assistance, and personalised mentorship from experts, ensuring you gain practical skills and industry recognition to advance your career in data science and AI.
Dual Certification
Graduates from computer science, mathematics, or a related field
Professionals with experience in technology background
Early to mid-career professionals seeking career leap
Ambitious individuals aiming for hands-on experience
Harness Extensive Industry Network of 510+ Companies with Relevant Skills
Syllabus | Advanced Certification in Data Science and AI Course
Still Not Sure About The Course?
Avoid Confusion, Choose The Right Option That Suits Your Needs.
Syllabus | Advanced Certification in Data Science and AI Course
Explore a meticulously designed syllabus that blends fundamental knowledge with cutting-edge techniques. Our Advanced Certification in Data Science and AI Course offers an extensive curriculum that immerses you in practical applications.
Explore a meticulously designed syllabus that blends fundamental knowledge with cutting-edge techniques. Our Advanced Certification in Data Science and AI Course offers an extensive curriculum that immerses you in practical applications.
This unit serves as a primer for data science, introducing key tools and concepts. It’s designed to equip non-programmers with foundational Python skills, facilitating a deeper understanding and practical application throughout the course.
Module 1: Introduction To Data Science, Analytics & Artificial Intelligence
Module 2: Fundamentals of Programming
Tools Covered: Python, Anaconda, Jupyter, Google Colab
Module 3: Fundamentals of Statistics
Note:
Module 2 and Module 3 of Unit 1 are specially designed for non-programmers to understand the basics of computer programming and math.
This unit provides an extensive roadmap for building a robust portfolio in data science. You’ll master GitHub, a version control system, for efficient collaboration and project management. Additionally, you’ll harness LinkedIn‘s power for networking and career advancement.
Module 1: Git & GitHub (VCS)
Class Hands-On: Initiate, collaborate, and work on a real-time project
Tools Covered: Git, GitHub
Module 2: LinkedIn Profile building
This Python course introduces fundamental to advanced concepts tailored for data science and AI applications. Learn Python step by step from basics to advanced. Learn all libraries, functions, and modules to perform data science projects by analyzing and building ML & AI models using Python.
Module 1: Core Python Programming
Project: Build a simple calculator
Module 2: Advanced Python Programming
Class Hands-on:
25+ programs/coding exercises on data types, loops, operators, functions, generators, file I/O, reg-ex, and exception handling
Module 3: Web Scraping using Python
Project: Scrape and Analyze Data from a Website (2-3 Projects)
Module 4: OOPs in Python
Module 5: Python For Data Analytics
Tools Covered: NumPy, Pandas, MatplotLib, Seaborn, Beautiful Soup
EDA Project (Create Insights using Data Analytics)
2 Full-Length Projects on Data Analytics using Pandas, MatplotLib & Seaborn to analyze Data to Gain Insights and Identify Patterns.
This course provides a comprehensive overview of statistical concepts and machine learning techniques, along with their practical applications. You will learn machine learning algorithms, explore various case studies to understand real-world applications and build models to reinforce your learning.
Module 1: Statistics & Probability
Class Hands-on:
Problem-solving for central tendency, ANOVA, central limit theorem & hypothesis testing Case study
Module 2: Machine Learning
Project:
Module 3: Advanced Machine Learning
Tools Covered: Pandas, Matplotlib, Sk Learn, LightGBM
Class Projects:
Note: All Machine Learning Algorithms will be covered in depth with real-time projects & case studies for each algorithm. Once Machine learning is completed, the Capstone Project will be released for the batch.
The Time Series Analysis course will help you learn how to model, forecast, and analyze time-based data that contains date and time parameters. These techniques are used for predictions in various industries. Eg. Stock Price Prediction, ECG Anomaly Detection, Earthquake Prediction, Inflation Rate Prediction, Migration Prediction, Rainfall Prediction, Internet Traffic Prediction, Energy Demand Forecasting, etc.
Module 1: Time-Series Data Analysis
Class Projects:
Tools Covered: SciKit Learn, Pandas, Matplotlib
The NLP specialization will help you gain experience in techniques such as; text preprocessing, sentiment analysis, and building text-based models. These concepts will further help us build Machine Learning & AI models like Grammarly, ChatGPT, and Alexa.
Module 1: NLP
Class Projects:
Tools Covered: NLTK, Spacy, BERT
Deep Learning, is a subset of machine learning that focuses on training neural networks to build a model by studying hierarchical patterns and features from the input data. On the other hand, in reinforcement Learning, you will learn to build a sequential model that interacts with the environment to achieve a goal by receiving real-time feedback.
Module 1: Deep Learning
Class Projects
Tools Covered: Tensorflow, Keras, PyTorch
Module 2: Reinforcement Learning
Class Projects:
In this unit, we’ll delve into computer vision for image analysis. We’ll explore image classification, object detection, and segmentation in computer vision using deep-learning architectures like CNNs.
Module 1: Computer Vision
Class Project:
Tools Used: Tensorflow, Keras, Open CV
In this unit, we’ll delve into generative AI and prompt engineering tools. Generative AI will introduce us to large language models, GANs, and autoregressive models for creating new content. At the same time, prompt engineering tools will help us craft effective prompts for guiding AI models, particularly language models like GPT.
Module 1: Generative AI and Large Language Models
Tools Covered: Open AI, BERT, Huggingface
Class Project:
Module 2: Prompt Engineering
ChatGPT: Prompt for text Generation (Natural Language Processing)
Dall E / Midjourney: Prompt for image Generation
Synthesia for Video Generation & Slides AI for PPT creation
Tools Covered: ChatGPT, Midjourney, Dall E, MS Copilot, Synthesia, Invideo AI, Slides AI
Learn practically data mining, optimizing query performance, and ensuring data integrity on SQL. Advanced topics include NoSQL databases like MongoDB, distributed systems, and data warehousing, preparing students for diverse data roles.
Module 1: SQL – Structured Query Language
Hands-on practice:
Module 2: MongoDB
Tools Covered: MySQL, SQL Server, MongoDB
This unit consists of two of the most prominently used tools for data visualization & analytics: Power BI and Tableau. You will learn to create interactive dashboards, reports, and visualizations to analyze and communicate insights effectively.
Module 1: Power BI
Class Project & Assignments:
Project 1: Education Institute’s student data analysis
Project 2: Sales Data Analysis
– Learn to visualize data to find patterns & insights using interactive charts
Module 2: Tableau
Class Project & Assignments:
Project 1: Supermarket data analysis
Project 2: Covid Data Analysis
– Learn to visualize data to find patterns & insights using interactive charts
– Deployment of Predictive model in Tableau
Tools Covered: Power BI, Tableau, Excel
Module 3: Excel for Analytics
In this unit, you will delve into two of the big data analytics tools Spark, Hadoop, and Kafka, the key components of modern data processing ecosystems. You will learn to harness Spark’s distributed computing power, Hadoop’s storage and processing capabilities, and Kafka’s real-time data streaming for scalable data processing & analysis.
Module 1: Apache Hadoop
Module 2: Apache Spark
Module 3: Apache Kafka
Tools Covered: Spark, Hadoop, Kafka
In this cloud deployment unit, you will learn to deploy machine learning and AI models using AWS and Azure, two leading cloud platforms. You’ll gain proficiency in deploying, scaling, and managing models in the cloud environments through practical exercises.
Module 1: AWS
Module 2: Azure
Tools Covered: AWS, EC2, S3, ECS, Sagemaker, Lambda, Azure, Azure ML, Flask, Django
This unit includes MLOps, or Machine Learning Operations, the practice of streamlining and automating the lifecycle of machine learning models. You will learn MLOps using any of MLFlow, Kubeflow & TFX to integrate machine learning models into production environments efficiently and reliably.
Module 1: MLFlow
Module 2: Kubeflow
Module 3: TensorFlow Extended (TFX)
Tools Covered: MLFlow, Kubeflow, TFX
In this unit, students will master the principles and practices of planning, organizing, executing, and controlling projects to achieve specific goals within constraints. Utilizing project management tools such as Asana, Trello, or Jira enhances efficiency in task management, collaboration, and tracking progress.
Module 1: Introduction to Project Management
Module 2: Agile & Scrum
Module 3: Jira
Tools Covered: Agile. Scrum, Jira, Kanban
This unit serves as a primer for data science, introducing key tools and concepts. It’s designed to equip non-programmers with foundational Python skills, facilitating a deeper understanding and practical application throughout the course.
Module 1: Introduction To Data Science, Analytics & Artificial Intelligence
Module 2: Fundamentals of Programming
Tools Covered: Python, Anaconda, Jupyter, Google Colab
Module 3: Fundamentals of Statistics
Note:
Module 2 and Module 3 of Unit 1 are specially designed for non-programmers to understand the basics of computer programming and math.
This unit provides an extensive roadmap for building a robust portfolio in data science. You’ll master GitHub, a version control system, for efficient collaboration and project management. Additionally, you’ll harness LinkedIn‘s power for networking and career advancement.
Module 1: Git & GitHub (VCS)
Class Hands-On: Initiate, collaborate, and work on a real-time project
Tools Covered: Git, GitHub
Module 2: LinkedIn Profile building
This Python course introduces fundamental to advanced concepts tailored for data science and AI applications. Learn Python step by step from basics to advanced. Learn all libraries, functions, and modules to perform data science projects by analyzing and building ML & AI models using Python.
Module 1: Core Python Programming
Project: Build a simple calculator
Module 2: Advanced Python Programming
Class Hands-on:
25+ programs/coding exercises on data types, loops, operators, functions, generators, file I/O, reg-ex, and exception handling
Module 3: Web Scraping using Python
Project: Scrape and Analyze Data from a Website (2-3 Projects)
Module 4: OOPs in Python
Module 5: Python For Data Analytics
Tools Covered: NumPy, Pandas, MatplotLib, Seaborn, Beautiful Soup
EDA Project (Create Insights using Data Analytics)
2 Full-Length Projects on Data Analytics using Pandas, MatplotLib & Seaborn to analyze Data to Gain Insights and Identify Patterns.
This course provides a comprehensive overview of statistical concepts and machine learning techniques, along with their practical applications. You will learn machine learning algorithms, explore various case studies to understand real-world applications and build models to reinforce your learning.
Module 1: Statistics & Probability
Class Hands-on:
Problem-solving for central tendency, ANOVA, central limit theorem & hypothesis testing Case study
Module 2: Machine Learning
Project:
Module 3: Advanced Machine Learning
Tools Covered: Pandas, Matplotlib, Sk Learn, LightGBM
Class Projects:
Note: All Machine Learning Algorithms will be covered in depth with real-time projects & case studies for each algorithm. Once Machine learning is completed, the Capstone Project will be released for the batch.
The Time Series Analysis course will help you learn how to model, forecast, and analyze time-based data that contains date and time parameters. These techniques are used for predictions in various industries. Eg. Stock Price Prediction, ECG Anomaly Detection, Earthquake Prediction, Inflation Rate Prediction, Migration Prediction, Rainfall Prediction, Internet Traffic Prediction, Energy Demand Forecasting, etc.
Module 1: Time-Series Data Analysis
Class Projects:
Tools Covered: SciKit Learn, Pandas, Matplotlib
The NLP specialization will help you gain experience in techniques such as; text preprocessing, sentiment analysis, and building text-based models. These concepts will further help us build Machine Learning & AI models like Grammarly, ChatGPT, and Alexa.
Module 1: NLP
Class Projects:
Tools Covered: NLTK, Spacy, BERT
Deep Learning, is a subset of machine learning that focuses on training neural networks to build a model by studying hierarchical patterns and features from the input data. On the other hand, in reinforcement Learning, you will learn to build a sequential model that interacts with the environment to achieve a goal by receiving real-time feedback.
Module 1: Deep Learning
Class Projects
Tools Covered: Tensorflow, Keras, PyTorch
Module 2: Reinforcement Learning
Class Projects:
In this unit, we’ll delve into computer vision for image analysis. We’ll explore image classification, object detection, and segmentation in computer vision using deep-learning architectures like CNNs.
Module 1: Computer Vision
Class Project:
Tools Used: Tensorflow, Keras, Open CV
In this unit, we’ll delve into generative AI and prompt engineering tools. Generative AI will introduce us to large language models, GANs, and autoregressive models for creating new content. At the same time, prompt engineering tools will help us craft effective prompts for guiding AI models, particularly language models like GPT.
Module 1: Generative AI and Large Language Models
Tools Covered: Open AI, BERT, Huggingface
Class Project:
Module 2: Prompt Engineering
ChatGPT: Prompt for text Generation (Natural Language Processing)
Dall E / Midjourney: Prompt for image Generation
Synthesia for Video Generation & Slides AI for PPT creation
Tools Covered: ChatGPT, Midjourney, Dall E, MS Copilot, Synthesia, Invideo AI, Slides AI
Learn practically data mining, optimizing query performance, and ensuring data integrity on SQL. Advanced topics include NoSQL databases like MongoDB, distributed systems, and data warehousing, preparing students for diverse data roles.
Module 1: SQL – Structured Query Language
Hands-on practice:
Module 2: MongoDB
Tools Covered: MySQL, SQL Server, MongoDB
This unit consists of two of the most prominently used tools for data visualization & analytics: Power BI and Tableau. You will learn to create interactive dashboards, reports, and visualizations to analyze and communicate insights effectively.
Module 1: Power BI
Class Project & Assignments:
Project 1: Education Institute’s student data analysis
Project 2: Sales Data Analysis
– Learn to visualize data to find patterns & insights using interactive charts
Module 2: Tableau
Class Project & Assignments:
Project 1: Supermarket data analysis
Project 2: Covid Data Analysis
– Learn to visualize data to find patterns & insights using interactive charts
– Deployment of Predictive model in Tableau
Tools Covered: Power BI, Tableau, Excel
Module 3: Excel for Analytics
In this unit, you will delve into two of the big data analytics tools Spark, Hadoop, and Kafka, the key components of modern data processing ecosystems. You will learn to harness Spark’s distributed computing power, Hadoop’s storage and processing capabilities, and Kafka’s real-time data streaming for scalable data processing & analysis.
Module 1: Apache Hadoop
Module 2: Apache Spark
Module 3: Apache Kafka
Tools Covered: Spark, Hadoop, Kafka
In this cloud deployment unit, you will learn to deploy machine learning and AI models using AWS and Azure, two leading cloud platforms. You’ll gain proficiency in deploying, scaling, and managing models in the cloud environments through practical exercises.
Module 1: AWS
Module 2: Azure
Tools Covered: AWS, EC2, S3, ECS, Sagemaker, Lambda, Azure, Azure ML, Flask, Django
This unit includes MLOps, or Machine Learning Operations, the practice of streamlining and automating the lifecycle of machine learning models. You will learn MLOps using any of MLFlow, Kubeflow & TFX to integrate machine learning models into production environments efficiently and reliably.
Module 1: MLFlow
Module 2: Kubeflow
Module 3: TensorFlow Extended (TFX)
Tools Covered: MLFlow, Kubeflow, TFX
In this unit, students will master the principles and practices of planning, organizing, executing, and controlling projects to achieve specific goals within constraints. Utilizing project management tools such as Asana, Trello, or Jira enhances efficiency in task management, collaboration, and tracking progress.
Module 1: Introduction to Project Management
Module 2: Agile & Scrum
Module 3: Jira
Tools Covered: Agile. Scrum, Jira, Kanban
Gate a chance to win Upto 25% Scholarship
Take the test and prove your interest in Data Science and AI skill development for your batter career
Get a chance to win Upto 25% Scholarship
Take the test and prove your interest in Data Science and AI skill development for your batter career
Industry Projects
Wide Range Of Tools & Modules
Products in the markets are
1stepGrow provides you with
1stepGrow Data Science & Artificial Intelligence Course focuses on Focused Group Training with Live projects
Three years of live class support with access to various batches and instructors
Never miss a session with unlimited access to recorded classes
Get offline feeling in online mode: unmute, ask, and clear doubts in real time
Advantage for revision: get lifetime access to class recordings and material
Invest in your future with quality education
Program Fee:
₹ 1,09,000
+ 18% GST
Multiple Payment Modes
Payment Partner
Invest in your future with quality education
Program Fee:
Still Not Sure About The Course?
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Domain Specialization
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(Mon-Fri)
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(Sat-Sun)
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Weekday Batch (Mon-Fri)
Weekend Batch (Sat-Sun)
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.
The Advanced Data Science and AI program at 1stepGrow Academy has exceeded my expectations. With 14+ years of technical experience, I still gained fresh insights, particularly in my already known topics. The trainers deliver thorough instruction in all topics; technical or conceptual, breaking down complex concepts with clarity and patience. The curated course is exceptional and the recommended tutorials are high-quality and domain-standard. The training's depth rivals that of leading universities, providing significant career advancement. The management and training at 1stepGrow have been instrumental in my further skill development.
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.
Enrolling at 1stepGrow Academy has been a fantastic experience. Their knowledgeable and approachable tutors break down complex concepts into easy-to-understand explanations. Small class sizes ensure personalized attention, and the well-organized administration communicates promptly. This training helped me secure a promotion at J.P. Morgan. Overall, 1stepGrow Academy exceeded my expectations, and I highly recommend it for mastering essential corporate applications.
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.
I completed the Advanced course from 1stepGrow, and it proved to be a comprehensive learning experience. The training included a balanced mix of theory, practical sessions, and industry projects that equipped me with real-world skills. The instructors were knowledgeable and provided strong support throughout. With additional offerings like Microsoft Azure certification, this course is perfect for professionals looking to advance or switch careers into the data science domain.
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.
The Advanced Data Science and AI program at
1stepGrow Academy has exceeded my
expectations. With 14+ years of technical
experience, I still gained fresh insights,
particularly in my already known topics. The
trainers deliver thorough instruction in all topics;
technical or conceptual, breaking down complex
concepts with clarity and patience. The curated
course is exceptional and the recommended
tutorials are high-quality and domain-standard.
The training's depth rivals that of leading
universities, providing significant career
advancement. The management and training at
1stepGrow have been instrumental in my
further skill development.
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.
Enrolling at 1stepGrow Academy has been a fantastic experience. Their knowledgeable and approachable tutors break down complex concepts into easy-to-understand explanations. Small class sizes ensure personalized attention, and the well-organized administration communicates promptly. This training helped me secure a promotion at J.P. Morgan. Overall, 1stepGrow Academy exceeded my expectations, and I highly recommend it for mastering essential corporate applications.
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.
I completed the Advanced course from
1stepGrow, and it proved to be a comprehensive learning experience. The training
included a balanced mix of theory, practical sessions, and industry projects that equipped me with real-world skills. The instructors were
knowledgeable and provided strong support throughout. With additional offerings like Microsoft Azure certification, this course is perfect for professionals looking to advance or
switch careers into the data science domain.
Get a chance to win Upto 25% Scholarship
Take the test and prove your interest in Data Science skill development for your batter career
The Advanced Certification in Data Science and AI Course is designed to be beginner-friendly, starting from the basics. While prior programming knowledge isn’t mandatory, a passion for learning and a foundational grasp of Applied Mathematics or Statistics will enhance your experience. Ideal candidates have technical exposure or hold degrees like B.E., B.Tech, BCA, MCA, or M.Tech. Get ready to dive into cutting-edge technologies and transform your career with our comprehensive, industry-focused training!
Our Advanced Certification in Data Science and AI Program is designed to equip you with a robust skill set across key areas in data science and AI. You’ll master:
For a detailed breakdown of the curriculum, check out our syllabus!
Definitely, individuals with a non-technical background can enroll in the Advanced Data Science and AI Course. While some basic technical knowledge and familiarity with programming concepts would be beneficial, the course is designed to accommodate learners from diverse backgrounds and equip them with the necessary skills to succeed in the field of data science and artificial intelligence.
If you lack eligibility for Advanced Data Science and AI course due to a lack of data exposure or technical know-how and still wish to learn Data Science, we offer a course in Data Science & Machine Learning for Non-Programmers that can help you achieve your goal of learning Data Science and pursuing a career in the field.
If you lack eligibility for Advanced Data Science and AI course due to a lack of data exposure or technical know-how and still wish to learn Data Science, we offer a course in Data Science & Machine Learning for Non-Programmers that can help you achieve your goal of learning Data Science and pursuing a career in the field.
Students enrolled in the Advanced Certification in Data Science and AI Program enjoy a 3-year subscription, providing access to live class support, mentorship from industry experts, and job referrals. This extended access ensures continuous learning and support, helping students stay updated with industry trends and enhancing their career prospects.
The Advanced Data Science and AI Course spans approximately 14 months (480 hours). This includes live training sessions, hands-on projects, and interview preparation. The program offers flexibility with weekday and weekend batches:
Smaller batch sizes create a more personalised and interactive learning environment. They allow for:
Yes, the Advanced Certification in Data Science and AI Program includes comprehensive coverage of cloud deployment technologies, such as AWS and Azure, as well as big data technologies like Hadoop, Spark and Kafka. This ensures you acquire a robust skill set in managing large-scale data and cloud-based environments, aligning with current industry standards.
Yes, the Advanced Certification in Data Science and AI Program includes comprehensive coverage of cloud deployment technologies, such as AWS and Azure, as well as big data technologies like Hadoop, Spark and Kafka. This ensures you acquire a robust skill set in managing large-scale data and cloud-based environments, aligning with current industry standards.
Yes, the Advanced Data Science and AI Course includes periodic assessments and exams to gauge your understanding and progress. These evaluations are integrated into the course to ensure you master the concepts, provide feedback for improvement, and prepare you effectively for real-world applications.
Yes, we understand that scheduling conflicts can occur. If you need to switch between batches, our support team is here to help. Just contact us, and we’ll assist you in making the necessary batch transfer arrangements, depending on seat availability in the desired batch.
Absolutely! The Advanced Data Science and AI Program places a strong emphasis on practical training. You will work on real-world projects, gaining hands-on experience in applying data science and AI techniques to solve complex problems. This practical exposure will enhance your skills and build your confidence in handling industry-relevant projects.
Real-time projects in the Advanced Certification in Data Science and AI Program are based on actual industry data, with sensitive information anonymized for confidentiality. These projects allow students to apply concepts and algorithms to real datasets, gaining practical experience. The course includes 24 real-time industry projects across various scenarios, offering hands-on practice with the tools and techniques learned, and preparing students for real-world challenges.
Domain specializations provide industry-specific training through capstone projects and mentorship tailored to particular fields. These projects, sourced from various industries, allow students to apply their skills in real-world contexts. Mentors guide students in understanding the projects within the relevant industry framework. This targeted training enhances students’ knowledge, making them more proficient and increasing their chances of clearing job interviews.
The program includes up to 4 end-to-end Capstone projects. These projects enable students to apply their knowledge and gain practical experience by working on real-world scenarios, providing invaluable hands-on learning opportunities.
At 1stepGrow, we assign specialised mentors for each subject to ensure that all queries are addressed effectively. If a batch is not satisfied with a mentor’s training method, students can raise their concerns on the student forum. The management will then address the issue and assign a different mentor to the batch if needed.
At 1stepGrow, we assign specialised mentors for each subject to ensure that all queries are addressed effectively. If a batch is not satisfied with a mentor’s training method, students can raise their concerns on the student forum. The management will then address the issue and assign a different mentor to the batch if needed.
To resolve queries outside of class, you can use our dedicated student forum. This platform allows you to connect with both trainers and fellow students, where you can post your questions and get answers or assistance, ensuring continuous support and collaboration.
Doubt-solving sessions are integrated into the Advanced Data Science and AI Course, with dedicated time at the end of each module. These sessions ensure that you can address and clarify any questions or concerns, promoting a thorough understanding of the material.
Doubt-solving sessions are integrated into the Advanced Data Science and AI Course, with dedicated time at the end of each module. These sessions ensure that you can address and clarify any questions or concerns, promoting a thorough understanding of the material.
Yes! Upon completing the Advanced Certification in Data Science and AI Program, you will receive extensive job assistance. Our dedicated placement team supports you with resume building, interview preparation, and connects you with job opportunities at top organisations. We are committed to aiding your career transition and helping you land a fulfilling role in the industry.
Yes! Upon completing the Advanced Certification in Data Science and AI Program, you will receive extensive job assistance. Our dedicated placement team supports you with resume building, interview preparation, and connects you with job opportunities at top organisations. We are committed to aiding your career transition and helping you land a fulfilling role in the industry.
To qualify for job assistance from 1stepGrow, you must meet these criteria:
The total fee for the Advanced Data Science and AI Course is INR 1,09,000/- plus 18% GST.
Yes, we offer flexible payment options for the Advanced Data Science and AI Course. You can choose to pay the fees in installments through a no-cost EMI (Interest free loan option) plan through our banking partner, with payments of approx. INR 10,719 per month for a 12-month period.To avail of this, you will need to submit your or applicant’s Aadhar, PAN, 3-month salary slip, and other necessary documents.
We offer multiple payment methods for your convenience:
Zero-cost EMI
Yes, we offer flexible installment options to ease the financial commitment. You can choose from various payment plans, including our no-cost EMI option. Contact our admissions team to explore the best payment plan for your needs.
Yes, 1stepGrow offers a 15% discount for immediate registrations to upto 25% scholarship on test scores. Our counsellors will provide details about any current discounts or scholarships available for the course.
Group discounts are designed to make our program more accessible for teams or friends joining together. Here’s how it works:
This helps make learning more affordable when you bring others along.
Reach out to us and your career guide will get
in touch with you shortly
All Answers To Your Future Career
The Advanced Certification in Data Science and AI Course is designed to be beginner-friendly, starting from the basics. While prior programming knowledge isn’t mandatory, a passion for learning and a foundational grasp of Applied Mathematics or Statistics will enhance your experience. Ideal candidates have technical exposure or hold degrees like B.E., B.Tech, BCA, MCA, or M.Tech. Get ready to dive into cutting-edge technologies and transform your career with our comprehensive, industry-focused training!
Our Advanced Certification in Data Science and AI Program is designed to equip you with a robust skill set across key areas in data science and AI. You’ll master:
For a detailed breakdown of the curriculum, check out our syllabus!
Definitely, individuals with a non-technical background can enroll in the Advanced Data Science and AI Course. While some basic technical knowledge and familiarity with programming concepts would be beneficial, the course is designed to accommodate learners from diverse backgrounds and equip them with the necessary skills to succeed in the field of data science and artificial intelligence.
If you lack eligibility for Advanced Data Science and AI course due to a lack of data exposure or technical know-how and still wish to learn Data Science, we offer a course in Data Science & Machine Learning for Non-Programmers that can help you achieve your goal of learning Data Science and pursuing a career in the field.
If you lack eligibility for Advanced Data Science and AI course due to a lack of data exposure or technical know-how and still wish to learn Data Science, we offer a course in Data Science & Machine Learning for Non-Programmers that can help you achieve your goal of learning Data Science and pursuing a career in the field.
Students enrolled in the Advanced Certification in Data Science and AI Program enjoy a 3-year subscription, providing access to live class support, mentorship from industry experts, and job referrals. This extended access ensures continuous learning and support, helping students stay updated with industry trends and enhancing their career prospects.
The Advanced Data Science and AI Course spans approximately 14 months (480 hours). This includes live training sessions, hands-on projects, and interview preparation. The program offers flexibility with weekday and weekend batches:
Smaller batch sizes create a more personalised and interactive learning environment. They allow for:
Yes, the Advanced Certification in Data Science and AI Program includes comprehensive coverage of cloud deployment technologies, such as AWS and Azure, as well as big data technologies like Hadoop, Spark and Kafka. This ensures you acquire a robust skill set in managing large-scale data and cloud-based environments, aligning with current industry standards.
Yes, the Advanced Certification in Data Science and AI Program includes comprehensive coverage of cloud deployment technologies, such as AWS and Azure, as well as big data technologies like Hadoop, Spark and Kafka. This ensures you acquire a robust skill set in managing large-scale data and cloud-based environments, aligning with current industry standards.
Yes, the Advanced Data Science and AI Course includes periodic assessments and exams to gauge your understanding and progress. These evaluations are integrated into the course to ensure you master the concepts, provide feedback for improvement, and prepare you effectively for real-world applications.
Yes, we understand that scheduling conflicts can occur. If you need to switch between batches, our support team is here to help. Just contact us, and we’ll assist you in making the necessary batch transfer arrangements, depending on seat availability in the desired batch.
Absolutely! The Advanced Data Science and AI Program places a strong emphasis on practical training. You will work on real-world projects, gaining hands-on experience in applying data science and AI techniques to solve complex problems. This practical exposure will enhance your skills and build your confidence in handling industry-relevant projects.
Real-time projects in the Advanced Certification in Data Science and AI Program are based on actual industry data, with sensitive information anonymized for confidentiality. These projects allow students to apply concepts and algorithms to real datasets, gaining practical experience. The course includes 24 real-time industry projects across various scenarios, offering hands-on practice with the tools and techniques learned, and preparing students for real-world challenges.
Domain specializations provide industry-specific training through capstone projects and mentorship tailored to particular fields. These projects, sourced from various industries, allow students to apply their skills in real-world contexts. Mentors guide students in understanding the projects within the relevant industry framework. This targeted training enhances students’ knowledge, making them more proficient and increasing their chances of clearing job interviews.
The program includes up to 4 end-to-end Capstone projects. These projects enable students to apply their knowledge and gain practical experience by working on real-world scenarios, providing invaluable hands-on learning opportunities.
At 1stepGrow, we assign specialised mentors for each subject to ensure that all queries are addressed effectively. If a batch is not satisfied with a mentor’s training method, students can raise their concerns on the student forum. The management will then address the issue and assign a different mentor to the batch if needed.
At 1stepGrow, we assign specialised mentors for each subject to ensure that all queries are addressed effectively. If a batch is not satisfied with a mentor’s training method, students can raise their concerns on the student forum. The management will then address the issue and assign a different mentor to the batch if needed.
To resolve queries outside of class, you can use our dedicated student forum. This platform allows you to connect with both trainers and fellow students, where you can post your questions and get answers or assistance, ensuring continuous support and collaboration.
Doubt-solving sessions are integrated into the Advanced Data Science and AI Course, with dedicated time at the end of each module. These sessions ensure that you can address and clarify any questions or concerns, promoting a thorough understanding of the material.
Doubt-solving sessions are integrated into the Advanced Data Science and AI Course, with dedicated time at the end of each module. These sessions ensure that you can address and clarify any questions or concerns, promoting a thorough understanding of the material.
Yes! Upon completing the Advanced Certification in Data Science and AI Program, you will receive extensive job assistance. Our dedicated placement team supports you with resume building, interview preparation, and connects you with job opportunities at top organisations. We are committed to aiding your career transition and helping you land a fulfilling role in the industry.
Yes! Upon completing the Advanced Certification in Data Science and AI Program, you will receive extensive job assistance. Our dedicated placement team supports you with resume building, interview preparation, and connects you with job opportunities at top organisations. We are committed to aiding your career transition and helping you land a fulfilling role in the industry.
To qualify for job assistance from 1stepGrow, you must meet these criteria:
The total fee for the Advanced Data Science and AI Course is INR 1,09,000/- plus 18% GST.
Yes, we offer flexible payment options for the Advanced Data Science and AI Course. You can choose to pay the fees in installments through a no-cost EMI (Interest free loan option) plan through our banking partner, with payments of approx. INR 10,719 per month for a 12-month period.To avail of this, you will need to submit your or applicant’s Aadhar, PAN, 3-month salary slip, and other necessary documents.
We offer multiple payment methods for your convenience:
Zero-cost EMI
Yes, we offer flexible installment options to ease the financial commitment. You can choose from various payment plans, including our no-cost EMI option. Contact our admissions team to explore the best payment plan for your needs.
Yes, 1stepGrow offers a 15% discount for immediate registrations to upto 25% scholarship on test scores. Our counsellors will provide details about any current discounts or scholarships available for the course.
Group discounts are designed to make our program more accessible for teams or friends joining together. Here’s how it works:
This helps make learning more affordable when you bring others along.
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We provide online certification in Data Science and AI, Digital Marketing, Data Analytics with a job guarantee program. For more information, contact us today!
Courses
1stepGrow
Anaconda | Jupyter Notebook | Git & GitHub (Version Control Systems) | Python Programming Language | R Programming Langauage | Linear Algebra & Statistics | ANOVA | Hypothesis Testing | Machine Learning | Data Cleaning | Data Wrangling | Feature Engineering | Exploratory Data Analytics (EDA) | ML Algorithms | Linear Regression | Logistic Regression | Decision Tree | Random Forest | Bagging & Boosting | PCA | SVM | Time Series Analysis | Natural Language Processing (NLP) | NLTK | Deep Learning | Neural Networks | Computer Vision | Reinforcement Learning | ANN | CNN | RNN | LSTM | Facebook Prophet | SQL | MongoDB | Advance Excel for Data Science | BI Tools | Tableau | Power BI | Big Data | Hadoop | Apache Spark | Azure Datalake | Cloud Deployment | AWS | GCP | AGILE & SCRUM | Data Science Capstone Projects | ML Capstone Projects | AI Capstone Projects | Domain Training | Business Analytics
WordPress | Elementor | On-Page SEO | Off-Page SEO | Technical SEO | Content SEO | SEM | PPC | Social Media Marketing | Email Marketing | Inbound Marketing | Web Analytics | Facebook Marketing | Mobile App Marketing | Content Marketing | YouTube Marketing | Google My Business (GMB) | CRM | Affiliate Marketing | Influencer Marketing | WordPress Website Development | AI in Digital Marketing | Portfolio Creation for Digital Marketing profile | Digital Marketing Capstone Projects
Jupyter Notebook | Git & GitHub | Python | Linear Algebra & Statistics | ANOVA | Hypothesis Testing | Machine Learning | Data Cleaning | Data Wrangling | Feature Engineering | Exploratory Data Analytics (EDA) | ML Algorithms | Linear Regression | Logistic Regression | Decision Tree | Random Forest | Bagging & Boosting | PCA | SVM | Time Series Analysis | Natural Language Processing (NLP) | NLTK | SQL | MongoDB | Advance Excel for Data Science | Alteryx | BI Tools | Tableau | Power BI | Big Data | Hadoop | Apache Spark | Azure Datalake | Cloud Deployment | AWS | GCP | AGILE & SCRUM | Data Analytics Capstone Projects
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Mumbai | Pune | Nagpur | Delhi | Gurugram | Chennai | Hyderabad | Coimbatore | Bhubaneswar | Kolkata | Indore | Jaipur and More