Build an autonomous agent that plans tasks, calls tools and runs complete workflows. Add memory, guardrails and error handling, then integrate APIs and external systems.
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7 Months Weekend Batches
Hands-On Learning AI Labs & Guided Coding
Academic Association I-DAPT, IIT (BHU) Varanasi
₹1,49,999No-cost EMI Available
The Advanced Generative & Agentic AI Professional Certification is a 7-month / 178-hour live instructor-led program designed for technology professionals who want to build practical expertise in Generative AI and Agentic AI.
The program takes you through the AI engineering journey, from Python and mathematical foundations to Machine Learning, Deep Learning, Large Language Models, Prompt Engineering, Retrieval-Augmented Generation (RAG), LLM evaluation, AI safety, Agentic AI and Multi-Agent Systems.
Through hands-on labs, guided coding, industry use cases and enterprise-focused capstone projects, you learn to build AI applications that can retrieve information, use tools, automate workflows and perform multi-step tasks.
The program is delivered in association with I-DAPT, IIT (BHU) Varanasi, with sessions involving IIT faculty, CloudThat AI experts and industry practitioners.
The program is delivered in collaboration with I-DAPT, IIT (BHU) Varanasi, bringing together academic expertise and industry-oriented AI implementation. Learners benefit from exposure to IIT faculty sessions, industry practitioners, hands-on learning and enterprise-focused AI projects. Academic Perspective + Industry Expertise + Practical AI Development
Python Programming
Machine Learning
Deep Learning
Large Language Models
RAG
Semantic AI
LLM Evaluation
Agentic AI
Multi-Agent Systems
AI Workflow Automation
Model Deployment
Enterprise AI Architecture
Python
Jupyter Notebook
Google Colab
Scikit-Learn
TensorFlow
PyTorch
GPT
Claude
Gemini
Llama
LangGraph (Concepts)
AutoGen (Concepts)
FAISS
Pinecone (Conceptual)
RAG Pipelines
Earn a professional certification from I-DAPT, IIT (BHU) Varanasi upon successful completion of the program.
Finish the program with hands-on projects across Machine Learning, NLP, RAG, Generative AI and Agentic AI.
Build agentic systems modelled on real enterprise use cases, including an IT support agent, a sales enablement agent and an autonomous data analysis agent.
Build the programming foundation required for AI development work.
Build the mathematical foundation required to understand machine learning models.
Build, evaluate and tune machine learning models for real-world use cases.
Learn neural networks and the architectures behind modern AI systems.
Learn how LLM-powered applications work and how to connect them with external knowledge.
Master prompt design and the operational practices behind reliable LLM applications.
Learn to measure and validate LLM output quality in production settings.
Understand how AI agents reason, plan and act using tools.
Learn the controls required to build safer and more reliable AI applications.
Build multi-agent systems using orchestration, memory and enterprise architecture patterns.
Build and document production-oriented projects across the full AI engineering lifecycle. Portfolio Output ML Predictive Model • NLP Text Classification • RAG-Based Q&A System • GenAI Chatbot • Enterprise Agentic AI Application • Git & Project Documentation
Enterprises don't deploy agents that can't be audited. Everything you build here carries the things that make an agent shippable: scoped permissions, tool access you control, human-in-the-loop checkpoints, guardrails against the obvious failure modes, and traces that show every decision the system made. The engineering around the agent gets as much attention as the agent itself.
Enterprise Agentic AI Projects
Multi-Agent Systems Practice
Production-Oriented Builds
Fresher
Began his cloud journey as a fresher and landed a Cloud & DevOps internship with practical training.
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Cloud Engineer
Restarted her career and secured a Cloud Engineer role after upskilling in cloud computing and AWS.
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Fresher
Kickstarted her career with a DevOps internship through hands-on learning and real-world project exposure
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DevOps Engineer
Successfully transitioned into a DevOps Engineer role with strong experience and hands-on AWS & DevOps skills.
Load MorePortfolio Development
Resume Strategy
LinkedIn Profile Building
Technical Mock Interviews
Career Mentoring
Guaranteed Interviews












Build AI capabilities into the applications you already develop.
Extend your skills from predictive models to LLMs, RAG and AI agents.
Move into Generative AI and Agentic AI engineering.
Develop skills to build and support enterprise AI systems.
Explore AI-powered workflow automation and autonomous systems.
Understand how Agentic AI can be designed into enterprise solutions.
Build practical AI engineering capabilities for your next career move.
Turn AI concepts into practical applications.
Submit your application for the agentic AI course and complete the eligibility and counselling process. Once selected, confirm your seat and begin your agentic AI training.
Register online, submit your application, and complete the counselling and eligibility process.
Complete the fee payment and receive your batch confirmation.
Get LMS access and begin your live weekend learning journey.
Flexible instalment options are available to help eligible learners pursue this comprehensive data science and AI course
Early Bird Offer
Flexible Payment Options Installment/EMI options available.
₹1,49,999 + GSTJoin the program and gain access to comprehensive training, projects, and career support. Flexible payment options available — starting at Rs. 4,999/month (EMI)


