Status: Coming Soon
Availability: Limited Seats Available
This masterclass focuses on Retrieval-Augmented Generation (RAG) systems and how they enhance AI with real-time knowledge retrieval. The session provides hands-on learning for building, optimizing, and deploying RAG-powered search systems.
Tushar Semwal
Understand the core concepts of Retrieval-Augmented Generation and how it enhances LLMs with real-time knowledge.
Get hands-on experience building a RAG system from scratch—retrieving data, generating responses, and evaluating output.
Explore advanced techniques like hybrid search, chunking, multi-step reasoning, and domain-specific fine-tuning.
Learn how RAG is used in enterprise AI search, customer support, and intelligent assistants—with best practices for production deployment.
With 2–3 years of experience eager to transition into advanced roles
Seeking to refine their skills in AI model evaluation
Interested in the latest methodologies for benchmarking AI technologies
NIAT has been recognized as one of the fastest-growing tech companies in India by the Technology Pioneer program.
Participants receive a certificate upon completion:
Complete the simple registration form on this page.
Check your email for confirmation and event details.
Log in on April 19th at 7:00 PM IST to participate in the live masterclass.
Praveen Yarlagadda - Software Engineer at Wipro
"I loved the way the workshop explained what generative AI is and its importance, along with the tools required."
Bheem Reddy Malekadi - Engineer at Vidal Health
"I loved the way the workshop explained what generative AI is and its importance, along with the tools required."
Sai Kiran Bh V - Associate Software Engineer at Enlume
"Using the examples and analogies to explain the concepts of Generative AI made the topic easily understandable."
Balanagendra kumar - Software Developer Trainee at Spritle
"The live coding, explanation, and research aspects were particularly enlightening."
Niranjan - Associate Software Engineer at Acheron
"The hands-on experience was particularly valuable."
Gangeswari K - Technical Consultant Trainee at IT Now
"The workshop covered everything from the basics."
Building India's Best Institute for Computer Science Education
Program Highlights:
Our past attendees are professionals from leading technology companies and organizations.
The following news articles highlight the impact of AI on the job market:
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Tushar Semwal, Senior Applied Scientist at Amazon.
IT Professionals with 2–3 years of experience eager to transition into advanced roles, Data Scientists & ML Engineers seeking to refine their skills in AI model evaluation, and Tech Enthusiasts interested in the latest methodologies for benchmarking AI technologies.
RAG Fundamentals, Building a Functional RAG System, Optimization for Accuracy and Speed, and Deployment in Real-World Applications.
Yes, participants receive an AI Mastery Certificate that is sharable on LinkedIn and can be showcased on resumes.
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Phone (WhatsApp only): +91 8008 9009 08
Email: [email protected]
Address: NIAT No. 144 Survey 37, Financial District, Nanakramguda Telangana 500032
NIAT is not a university and does not itself award degrees. Admission into universities where the NIAT upskilling program is offered is solely at the discretion of the university based on its established admission policies.