Your cart is currently empty.
For 1st & 2nd Year Students
For 3rd & 4th Year Students
Registration Fee Registration fees is non-refundable
Course Fee
Total Admission Fee
Class Timings: Mon-Friday 9:00 PM - 10.30 PM, Foundation Classes start from 17th Aug 2026
Only limited seats are available. Apply early to secure your seat.
EMI Starts at
We partnered with financing companies to provide competitive finance options at 0% interest rate with no hidden costs
Financing Partners
Note: The credit facility is provided by a third party credit facility provider and any arrangement with such third party is outside Intellipaat’s purview.
Programs in Collaboration with world's top Universities & MNC's
Generative AI creates content or predictions from prompts. Agentic AI adds planning, tool use, memory, state, workflow control, and feedback so a system can complete multi-step tasks with defined levels of autonomy.
Basic programming familiarity is recommended. The program starts with Python and software foundations before progressing to LLM applications, retrieval, tools, agents, evaluation, and deployment.
The curriculum includes Python, SQL, APIs, OpenAI platform concepts, LangChain, LangGraph, CrewAI, Microsoft Agent Framework concepts, vector databases, FastAPI, Docker, and observability tools.
Yes. You will learn MCP concepts for connecting AI applications to tools and data, including servers, clients, resources, prompts, authorization, security risks, and operational controls.
Yes. You will work with document ingestion, chunking, embeddings, vector search, retrieval, reranking, citations, grounded generation, and evaluation of retrieval quality.
The program covers evaluation rubrics, guardrails, prompt-injection risks, unsafe tool use, data leakage, human review, observability, cost, latency, failure recovery, and responsible AI practices.
Yes. The curriculum introduces APIs, FastAPI, Docker, configuration, logging, authentication concepts, monitoring, health checks, scaling considerations, and release readiness.
Projects include structured extraction, RAG, analytics copilots, customer-support triage, research workflows, multi-agent operations, MCP integration, evaluation, observability, and deployment.
The skills support roles such as Generative AI Engineer, Applied AI Engineer, LLM Engineer, RAG Engineer, Agentic AI Developer, AI Automation Engineer, and AI Application Developer.
After successful completion, you will receive the Professional Certification in Gen AI & Agentic AI from iHub Drishti Foundation, IIT Jodhpur, in collaboration with Intellipaat.