Quick Overview
In this announcement video, educator Krish Naik introduces the 3.0 Ultimate Data Science and AI Engineering Bootcamp. He explains the cohort timeline, course structure, and learning roadmap designed for individuals preparing for careers in data science and AI.
Key Points
- 1.Krish Naik announced the launch of the 12-month 3.0 Ultimate Data Science and AI Engineering Bootcamp starting in September.
- 2.Live classes are scheduled every Saturday and Sunday from 8 PM to 11 PM IST, with additional alternate Wednesday sessions from 8:30 PM to 11:30 PM IST.
- 3.Enrolling in the 3.0 bootcamp provides full concurrent access to the ongoing 2.0 bootcamp live sessions and recordings.
- 4.Learners can pursue two parallel tracks: a traditional route starting from Python and machine learning basics, or a modern route starting directly with deep learning and generative AI.
- 5.The full curriculum spans 27 modules that cover data analysis, big data, machine learning, deep learning, LangChain, LangGraph, retrieval augmented generation, and multi-agent AI systems.
Summary
Krish Naik announces the launch of the 3.0 Ultimate Data Science and AI Engineering Bootcamp, a live 12-month training cohort scheduled to begin on September 6. He outlines the schedule for the program, explaining that standard live sessions take place every Saturday and Sunday from 8 PM to 11 PM IST. Additionally, alternate Wednesday sessions are held from 8:30 PM to 11:30 PM IST to provide extra guidance and depth.
He explains why the 3.0 batch is being made available earlier than typical yearly cohorts. In the previous 2.0 cohort, which started in January, foundational modules on Python, machine learning, and feature engineering are already complete, and the curriculum is moving into deep learning, generative AI, and agentic workflows. By enrolling in the 3.0 bootcamp, students automatically gain access to all live sessions and recordings of the 2.0 cohort as well. This setup allows students with prior programming and machine learning experience to skip ahead and attend live deep learning and generative AI classes immediately, while absolute beginners can start from the absolute basics in the 3.0 track.
Krish presents a visual decision tree illustrating the two distinct learning paths available to students. The traditional route begins with Python, statistics, exploratory data analysis, and classical machine learning before transitioning to neural networks. The modern route starts with deep learning, large language models, generative AI architectures, retrieval augmented generation, and agentic AI. Because students have simultaneous access to both cohorts, they can follow both paths in parallel and complete the comprehensive curriculum within six months if they devote sufficient time.
The video then reviews the detailed curriculum document, which contains 27 structured modules. Foundational topics include core Python, advanced object-oriented programming, data structures, NumPy, Pandas, data visualization with Matplotlib and Seaborn, databases with Supabase and MongoDB Atlas, interactive dashboards with Streamlit, inferential statistics, core machine learning algorithms, production deployment with FastAPI, MLflow, and big data processing with PySpark. The advanced modules cover deep learning architectures, vector databases, LangChain, retrieval augmented generation pipelines, enterprise LLM systems, and multi-agent system automation using LangGraph.
Finally, Krish introduces the mentoring team, which includes Sourangshu Pal and Monal Kumar alongside himself. The standard tuition fee is 12,000 rupees inclusive of GST, which works out to 1,000 rupees per month across the 12-month program. He announces a 20 percent birthday discount using the coupon code KRISH20 to celebrate turning 37 on August 24. Course enrollees receive three years of dashboard access, full recording archives, active community discussion forums, and live doubt-clearing sessions.
Bootcamp Overview and Class Schedule
The video introduces the 3.0 Ultimate Data Science and AI Engineering Bootcamp, a 12-month comprehensive live cohort. Classes take place every weekend on Saturday and Sunday from 8 PM to 11 PM IST. In addition to weekend classes, live sessions are held on alternate Wednesdays between 8:30 PM and 11:30 PM IST. The program is structured to support both complete beginners starting from scratch and practitioners looking to accelerate their progression into AI engineering within six months.
Two Learning Tracks and Dual Cohort Access
Learners who enroll in the 3.0 bootcamp also receive full access to the ongoing 2.0 bootcamp. In the 2.0 cohort, modules on machine learning and feature engineering are already completed, and live deep learning sessions are underway. This structure allows students with prior machine learning knowledge to immediately jump into deep learning, generative AI, and agentic AI through the 2.0 live sessions while using the 3.0 track to master foundational Python and core machine learning concepts.
Comprehensive Curriculum and Multi-Agent Projects
The curriculum contains 27 distinct modules. It begins with Python foundations, object-oriented programming, data structures, and numerical computing with NumPy and Pandas, before advancing through data visualization, SQL and NoSQL databases, Streamlit, statistics, machine learning, MLflow, PySpark, deep learning, and natural language processing. The advanced section includes vector databases, LangChain, retrieval augmented generation, enterprise LLM architectures, and multi-agent systems built with LangGraph.
Pricing, Mentorship, and Birthday Discount
The course is taught by mentors including Krish Naik, Sourangshu Pal, and Monal Kumar. The bootcamp is priced at 12,000 rupees inclusive of GST, reflecting a baseline cost of 1,000 rupees per month. To mark Krish Naik's 37th birthday on August 24, a 20 percent discount code is offered to reduce enrollment costs. Enrollees receive dashboard access for three years, a community discussion forum, and live doubt clearing support.
FAQ
What is the class schedule for the 3.0 Ultimate Data Science and AI Engineering Bootcamp?
Classes are held every Saturday and Sunday from 8 PM to 11 PM IST, along with alternate Wednesday sessions from 8:30 PM to 11:30 PM IST.
What additional access is granted to students who enroll in the 3.0 bootcamp?
Enrollees in the 3.0 bootcamp receive full access to the live sessions, recordings, and course dashboard of the ongoing 2.0 bootcamp cohort.
What are the two parallel learning tracks available to students in the AI engineering bootcamp?
Students can choose the traditional track starting with Python, statistics, and machine learning, or the modern track starting with deep learning, generative AI, and agentic AI.
How many total modules are included in the full bootcamp course curriculum?
The full course syllabus consists of 27 detailed modules covering foundational programming up through advanced multi-agent systems.
What discount code is available for enrolling in the 3.0 Ultimate Data Science and AI Engineering Bootcamp?
Learners can use the coupon code KRISH20 to receive a 20 percent discount on the standard 12,000 rupee course fee in celebration of Krish Naik's birthday.
Worth watching for
This video is intended for aspiring data scientists, software developers, and working professionals who want to transition into artificial intelligence engineering through a structured live bootcamp.
- data-science
- ai-engineering
- machine-learning
- deep-learning
- generative-ai
- langgraph