Data Science & AI Masters 2026 - From Python To Gen AI (Udemy.com)
Master Data Science and AI: Learn Python, EDA, Stats, SQL, Machine Learning, NLP, Deep Learning and Gen AI
Created by: Dr. Satyajit Pattnaik
Last updated September 2026
What you will learn
- Build a solid foundation in Python programming to effectively implement AI concepts and applications.
- Learn how Machine Learning & Deep Learning works
- Learn how transformer models revolutionize NLP tasks, and how to leverage them for various applications.
- Gain hands-on experience with Retrieval-Augmented Generation (RAG) and Langchain for building advanced AI applications.
- Learn how to utilize vector databases for efficient storage and retrieval of embeddings in AI projects.
- Understand the complete pipeline of Natural Language Processing, from data preprocessing to model deployment.
- Explore the essentials of Large Language Models (LLMs) and their applications in generative tasks.
- Develop skills in crafting effective prompts to optimize model performance and achieve desired outputs.
How it compares
Against the other 1,210 rated Udemy courses in Business on CourseDuck:
- Rating4.4 out of 5higher than 27% of them
- Reviews2,715#250 of 1,211 by number of reviews
- Length118 hourslonger than 99% of them
- Last updatedSeptember 2026more recently than 92% of them
Course Description
Welcome to Data Science & AI Masters 2026 - From Python To Gen AI! This comprehensive course is designed for aspiring data scientists and AI enthusiasts who want to master the essential skills needed to thrive in the rapidly evolving field of data science and artificial intelligence. Whether you're a beginner or looking to enhance your existing knowledge, this bootcamp will guide you through every step of your learning journey.
What You Will Learn
In this bootcamp, you will gain a solid foundation in key concepts and techniques, including:
Python Programming: Start with the basics of Python, the most popular programming language in data science, and learn how to write efficient code.
Exploratory Data Analysis (EDA): Discover how to analyze and visualize data to uncover insights and patterns.
Statistics: Understand the statistical methods that underpin data analysis and machine learning.
SQL: Learn how to manage and query databases effectively using SQL.
Machine Learning: Dive into the world of machine learning, covering algorithms, model evaluation, and practical applications.
Time Series Analysis & Forecasting: Explore techniques for analyzing time-dependent data and making predictions.
Deep Learning: Get hands-on experience with neural networks and deep learning frameworks.
Natural Language Processing (NLP): Learn how to process and analyze textual data using NLP techniques.
Transformers and Generative AI: Understand the latest advancements in AI, including transformer models and generative AI applications.
Real-World Projects: Apply your skills through engaging projects that simulate real-world data challenges.
Projects List:
AI Career Coach: A personalized chatbot that guides users in career development and job search strategies using real-time data and insights.
AI Powered Automated Claims Processing: An intelligent system that streamlines insurance claims by automating data extraction and decision-making processes.
Chat Scholar Chatbot + Essay Grading System: An interactive chatbot that assists students with writing and provides AI-driven grading and feedback on essays.
Research RAG Chatbot: A research assistant chatbot that retrieves relevant academic information and generates summaries based on user queries.
Sustainability Chatbot (GROK AI): An eco-focused chatbot that educates users on sustainable practices and provides actionable tips for reducing their carbon footprint.
Multi PDF RAG Chatbot: An intelligent chatbot that utilizes web-scraped data to answer user queries by extracting and summarizing information from multiple PDF documents.
Text to SQL Chatbot (using Gemini): A smart chatbot that converts natural language queries into SQL commands, streamlining data retrieval and analysis for users
If you have a specific project idea in mind, feel free to share it, and we will do our best to bring your vision to life.
Course Structure
The bootcamp is structured into modules that build upon each other, ensuring a smooth learning experience. Each module includes video lectures, hands-on exercises, and quizzes to reinforce your understanding. By the end of the course, you will have a robust portfolio of projects showcasing your skills and knowledge.
Conclusion
Join us in The Complete DS/AI Bootcamp and take the first step towards a rewarding career in data science and artificial intelligence. With the demand for data professionals on the rise, this course will equip you with the skills needed to excel in this exciting field. Enroll now and start your journey to becoming a proficient data scientist and AI expert!
Instructor Details
- 4.4 Rating
2,715 Reviews
Dr. Satyajit Pattnaik
Dr. Satyajit Pattnaik is a seasoned Data/AI professional based in Hong Kong, renowned for transforming complex data into actionable insights. With over 40,000 followers on LinkedIn and 115,000+ subscribers on YouTube, he combines his expertise in generative ai, machine learning, deep learning, and analytics to mentor aspiring data analysts, scientists & AI engineers.
A graduate of the Swiss School of Business and Management, Satyajit has spearheaded innovative research in voice-based patient classification, achieving remarkable accuracy rates.
He has trained over 200,000 professionals, including his YouTube channel, where he shares valuable insights and tutorials. Satyajit is also an advocate for generative AI, having conducted workshops that empower learners to harness cutting-edge technologies. His passion for education and commitment to the data community make him a valuable resource for anyone looking to advance their skills in data analytics.
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Reviews
By Jaxon Baker on 9/3/2026
The ultimate roadmap for mastering modern AI! It smoothly bridges the gap between Python fundamentals, data science, and advanced Generative AI concepts through excellent, structured learning
By Saiteja Sriramoji on 9/2/2026
Excellent resources and training methods and your method teaching.It is a fundamentally strong course for the Machine Learning learners and that to in depth knowledge of Machine learning and DL
By Surja Gain on 8/2/2026
Comprehensive course on Machine Learning and Deep Learning for learners. Dr. Satyajit is a well known and accomplished teacher in this field and teaches very well. The different ML & DL concepts are explained well with examples. Dr. Satyajit has also kept the course updated regularly and thanks to him for adding end to end projects which add more value to this superb course. This is a course worth taking.
By Guilherme Fernandes on 7/24/2026
It's a good course for having an overview of lots of topics in AI and ML, ranging from the more classical to the newer ones. A feedback to the instructor: the videos on Ollama have an extremely distracting moving blue background which is completely unnecessary for the edition. Removing it should be considered.
By Amelie Segers on 6/13/2026
I thought learning data science would be intimidating, but this course made it surprisingly approachable. Starting with Python basics and gradually moving into Gen AI, the lessons felt clear and practical. The hands‑on projects gave me the confidence to apply what I learned immediately at work.
By Rohit on 5/9/2026
Honestly, Satyajit, your teaching is so good, the course is super huge but I will finish the course easily because the way of teaching is super super nice. Your style is smoother than a fresh jar of peanut butter and makes everything so easy to grab onto. Thanks for making learning actually fun..
By Harsha V Murthy on 2/10/2026
i we can't maximize the videos.. ii.some of the content is small iii. Instructor is good.. Examples are clear..But needs to summarise.aftet every module and correlate things/learnings between modules so that it would be more clear
By Nishant Pirke on 12/22/2025
This course is superb to learn to Data Science and AI , its sustainable and reliable at this cost. The teacher is goes to very depth in topic , he contributes his 100% on this course , but as a learner we have to practice a lot to master it. We doesn't depend on only learning we have to practice daily, revise things in ML and DL and also we have to give 100% of ours. Although this is best course in udemy for Data Science and AI , It gives all which needed for this.
By Shreyash jain on 12/8/2025
Not for someone who completely depends on these lectures , cause instructor does not goes explains in depth , neither mathematical intutions are discussed just reads the written code. less end to end projects. through he is very knowledgeable.
By Nicolas Bernard on 11/29/2025
Amazing course. First time I find a so complete course. Gen AI part was completly new to me and it was totally awesome to understand concepts and being able to produce end to end applications. Kudos to the teacher who is a total master in data science. I spent entire days enjoying this training. Just as a student and mentioned by the teacher, code in Gen AI is evolving a lot and it takes time to make it work. Langchain delivers versions again and again and it's impossible to maintain the code very up to date. Claude AI is the best to help you upgrade the code presented.
Quality Score
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Overall Score : 88 / 100









