How to build agentic RAG systems with cloud deployment

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October 8, 2025
by
Krish Naik
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How to build agentic RAG systems with cloud deployment

TL;DR

The course trains you to design and deploy agentic RAG systems. It covers foundational RAG concepts, LangChain, document parsing, and multi model workflows, with live sessions on weekends starting November 2, 2025. Enrollment includes a dashboard, Udemy coupons, community support, and career-focused activities like mock interviews and hackathons.

Transcript

Hello all, my name is Krishna and welcome to my YouTube channel. So guys, uh less than two months are left for the completion of 2025. Um this year has been quite amazing. Uh we were able to teach many many people out there. Uh many people were able to make successful career transition specifically in the field of generative AI, agentic AI. Uh many... Read More

Key Insights

  • The course centers on building agentic RAG systems with a focus on practical deployment. It covers foundational RAG, LangChain, llama index, document parsing, and workflow orchestration to enable scalable applications.
  • RAG techniques are explored across multiple structures, including multi model and conversational RAG, to prepare learners for real-world integration and deployment challenges.
  • The bootcamp includes live mentors, schedule adjustments for holidays, and a commitment to industry readiness with portfolio projects and production deployment.
  • Participants will learn about production and deployment practices, model context protocol, and techniques to scale intelligent RAG applications.
  • Enrollment is time bound with a festive season discount and limited seats, creating urgency and ensuring dedicated attention from instructors.
  • The coaching team comprises four mentors who may distribute sessions to cover different modules, ensuring diverse expertise across the syllabus.
  • Support features include doubt clearing, hackathons with rewards, resume review, mock interviews, and ongoing Udemy coupon distributions to add value.

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Questions & Answers

Q: How to enroll in the Agentic AI RAG bootcamp?

To enroll you should click the enroll now option on the course page referenced in the video description. The program starts November 2, 2025 with classes on Saturdays and Sundays from 9:00 a.m. to 12:00 p.m. IST. You will get a course dashboard, 1.5 years of Udemy access when coupons are available, a community chat forum, live doubt clearing sessions, and access to career services like mock interviews and resume reviews. The pricing is set at 69 with a 20 percent discount using the coupon AI20 for limited seats.

Q: What topics are covered in the foundational RAG module?

The foundational module introduces the core concepts of RAG including the foundations of RAG itself, LangChain, llama index, and document parsing. It also covers the concept of work flow orchestration and the building blocks needed for scalable, intelligent RAG applications. Learners gain hands on experience with multi structure RAG and early system design considerations to prepare for advanced topics.

Q: Who are the mentors for this bootcamp and how is instruction delivered?

The bootcamp features a team of four main mentors: Sunonny, Savvita, Mang Paul, and Krishna, with sessions potentially distributed among them based on availability. Instruction is delivered through live sessions on weekends, with doubt clearing opportunities and the possibility of extending class time up to 1 p.m. if needed. This structure ensures coverage of modules by multiple experienced instructors.

Q: What is the discount and seat availability window for enrollment?

There is a festive season discount of 20 percent available for the first 100 seats. The coupon code AI20 can be used at enrollment. Seats are limited which creates urgency, so early enrollment is recommended to secure a spot. The discount window is finite and tied to the promotional period described in the video description.

Q: What is the expected duration and outcome of the bootcamp?

The bootcamp is designed to run over four to five months with a heavy emphasis on practical implementation of agentic RAG systems and cloud deployment. The expected outcome is industry readiness through portfolio projects, hands on work with RAG techniques, and a demonstrated ability to build scalable, production ready AI applications.

Q: What is the significance of RAG in this course?

RAG is a central use case emphasized throughout the batch because many companies are building agentic AI systems that rely on robust retrieval augmented generation. The curriculum covers foundational RAG concepts, advanced techniques, structure and multi model RAG, and production deployment, enabling learners to implement effective and scalable RAG driven solutions in real world scenarios.

Q: What additional benefits are included with enrollment beyond the classes?

Beyond classes, enrollees receive a course dashboard with prerequisite videos, access to a community chat forum for peer discussion, live doubt clearing, and participation in hackathons with rewards. The program also offers resume discussions and mock interviews to help students showcase their skills to potential employers, along with ongoing Udemy coupon distributions.

Q: When does the program start and how are Sundays handled for sessions?

The start date is November 2, 2025. Classes take place on Saturdays and Sundays from 9:00 a.m. IST to 12:00 p.m. IST, with possible extension to 1 p.m. if doubt clearing sessions require additional time. This weekend schedule is designed to fit learners who may be balancing other commitments and aims to deliver consistent, structured instruction.

Summary & Key Takeaways

  • The bootcamp focuses on building agentic RAG systems from foundations to deployment, emphasizing practical implementation and cloud deployment.

  • Learners gain access to a course dashboard, community forum, doubt clearing, and project work that results in a portfolio for industry readiness.

  • The program offers discounts, limited seats, and ongoing support including counseling numbers and a structured syllabus across modules.


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