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Advanced Generative & Agentic AI Professional Certification

Master Gen AI & Agentic AI in Association with I-DAPT, IIT (BHU) Varanasi

  • 7 Months
  • Live Instructor-Led
  • Weekend Learning
  • Career Support
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Career Support Resume & Interviews

7 Months Weekend Batches

Hands-On Learning AI Labs & Guided Coding

Academic Association I-DAPT, IIT (BHU) Varanasi

₹1,49,999No-cost EMI Available

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About the Advanced Generative & Agentic AI Professional Certification

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. 

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What sets this Generative & Agentic AI course apart from other AI courses?

Highlight icon I-DAPT, IIT (BHU) Varanasi Association
Highlight icon 7-Months Live Weekend Training
Highlight icon Live Instructor-led Learning
Highlight icon Hands-on AI Labs
Highlight icon Enterprise-Focused Curriculum
Highlight icon Multi-Agent AI Development
Highlight icon Production-Oriented Capstone Projects
Highlight icon Career Assistance & Interview Preparation
Highlight icon Mentorship From IIT Faculty & AI Experts
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In Association with I-DAPT IIT (BHU) Varanasi

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

Collaboration

Master the Skills Behind Modern AI Engineering

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

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Learn the Tools & Technologies Used in Modern AI Development

 Python

 Python

Jupyter Notebook

Jupyter Notebook

Google Colab

Google Colab

Scikit-Learn

Scikit-Learn

TensorFlow

TensorFlow

PyTorch

PyTorch

GPT

GPT

Claude

Claude

Gemini

Gemini

Llama

Llama

LangGraph (Concepts)

LangGraph (Concepts)

AutoGen (Concepts)

AutoGen (Concepts)

FAISS

FAISS

Pinecone (Conceptual)

Pinecone (Conceptual)

 RAG Pipelines

RAG Pipelines

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Earn a Professional Certification. Build a Portfolio

  • Certification icon

    Professional Certification

    Earn a professional certification from I-DAPT, IIT (BHU) Varanasi upon successful completion of the program.

  • Certification icon

    Industry-Ready AI Project Portfolio

    Finish the program with hands-on projects across Machine Learning, NLP, RAG, Generative AI and Agentic AI.

  • Certification icon

    Enterprise Capstone Experience

    Build agentic systems modelled on real enterprise use cases, including an IT support agent, a sales enablement agent and an autonomous data analysis agent.

Certificate
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Generative AI & Agentic AI Course Curriculum

Download Full Curriculum
  • Python for AI — Prerequisite

Build the programming foundation required for AI development work.

Topics Covered
  • Python
  • Jupyter Notebook
  • Google Colab
  • API Integration
Skills Acquired
    Python Programming API Integration Notebook Workflows
  • Math & Data Foundations — Prerequisite

Build the mathematical foundation required to understand machine learning models.

Topics Covered
  • Linear Algebra
  • Probability
  • Statistics
Skills Acquired
    Statistical Reasoning Probability ML Foundations
  • Machine Learning
  • 32 Hours

Build, evaluate and tune machine learning models for real-world use cases.

Topics Covered
  • Scikit-Learn
  • Regression
  • Classification
  • Clustering
  • Model Evaluation
Skills Acquired
    Machine Learning Model Evaluation Feature Engineering
  • Deep Learning Foundations
  • 20 Hours

Learn neural networks and the architectures behind modern AI systems.

Topics Covered
  • Neural Networks
  • TensorFlow
  • PyTorch
  • Model Training
Skills Acquired
    Deep Learning Neural Networks Model Training
  • Generative AI & LLMs
  • 28 Hours

Learn how LLM-powered applications work and how to connect them with external knowledge.

Topics Covered
  • LLMs
  • GPT
  • Claude
  • Gemini
  • Llama
  • RAG
  • Semantic AI
  • Vector Databases
  • FAISS
  • Pinecone
  • Embeddings
Skills Acquired
    LLMs RAG Semantic AI Vector Search
  • Prompt Engineering & LLM Operations — 15 Hours
  • 15 Hours

Master prompt design and the operational practices behind reliable LLM applications.

Topics Covered
  • Prompt Engineering
  • RAG Pipelines
  • API Integration
  • Model Deployment
Skills Acquired
    Prompt Engineering API Integration Model Deployment
  • LLM Evaluation
  • 5 Hours

Learn to measure and validate LLM output quality in production settings.

Topics Covered
  • LLM Evaluation
  • Output Validation
Skills Acquired
    LLM Evaluation Quality Assurance
  • Agentic AI Foundations
  • 8 Hours

Understand how AI agents reason, plan and act using tools.

Topics Covered
  • AI Agents
  • Tool Calling
  • API Integration
  • AI Workflow Automation
Skills Acquired
    Agent Design Tool Calling Workflow Automation
  • AI Safety & Guardrails
  • 4 Hours

Learn the controls required to build safer and more reliable AI applications.

Topics Covered
  • AI Safety
  • Guardrails
Skills Acquired
    AI Safety Guardrails
  • Advanced Agentic AI
  • 20 Hours

Build multi-agent systems using orchestration, memory and enterprise architecture patterns.

Topics Covered
  • Multi-Agent Systems
  • Multi-Agent Architecture
  • LangGraph (Concepts)
  • AutoGen(Concepts)
  • Enterprise AI Architecture
Skills Acquired
    Multi-Agent Systems Agent Orchestration Enterprise AI Architecture
  • Capstone Projects

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

Topics Covered
Skills Acquired

Build Enterprise-Focused AI Projects

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.

Practice icon

Enterprise Agentic AI Projects

Practice icon

Multi-Agent Systems Practice

Practice icon

Production-Oriented Builds

Enterprise Agentic AI

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.

RAG-Based Q&A System

Build a retrieval system that answers questions from your own documents. Handle ingestion, embeddings and retrieval, then evaluate the output for accuracy.

GenAI Chatbot

Build LLM-powered conversational applications with prompt design, context management, and API integration. Develop ML predictive models and NLP classification solutions.

Cloud Upskilling Prepares You For These Roles

Rohith Prajwal
Rohith Prajwal

Fresher

Began his cloud journey as a fresher and landed a Cloud & DevOps internship with practical training.

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Before CloudThat

Fresher

Before company logo
After CloudThat

Cloud & DevOps Intern

After company logo
Anchal Jemti
Anchal Jemti

Cloud Engineer

Restarted her career and secured a Cloud Engineer role after upskilling in cloud computing and AWS.

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Before CloudThat

Executive Level

Before company logo
After CloudThat

Senior Manager Level

After company logo
D. Lalitha Venkata Krishna
D. Lalitha Venkata Krishna

Fresher

Kickstarted her career with a DevOps internship through hands-on learning and real-world project exposure

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Before CloudThat

Fresher

Before company logo
After CloudThat

DevOps Intern

After company logo
Rajsekhar S Patil
Rajsekhar S Patil

DevOps Engineer

Successfully transitioned into a DevOps Engineer role with strong experience and hands-on AWS & DevOps skills.

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Before CloudThat

Executive

Before company logo
After CloudThat

DevOps Engineer

After company logo
  • Career stat icon 55% Average Salary Hike
  • Career stat icon 45 LPA Highest Salary
  • Career stat icon 500+ Hiring Partners Nationwide
  • Career stat icon 92% Placement Success Rate

Career Opportunities After Generative & Agentic AI Training

AI Engineer
Generative AI Engineer
Agentic AI Engineer
LLM Application Developer
AI Automation Architect
Enterprise AI Specialist
Multi-Agent Engineer
Prompt Engineering Specialist
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Build Your Career Alongside Your AI Skills

Portfolio Development

Resume Strategy

LinkedIn Profile Building

Technical Mock Interviews

Career Mentoring

Guaranteed Interviews

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Top Companies Are Hiring Gen & Agentic AI Professionals

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Interested in this Program? Secure your spot now!

The application is free and takes only less than a minute to complete.

Hear from our Learners

Quote icon

Industry-aligned training with strong placement support

I enrolled in the Cloud and DevOps training program and the curriculum was aligned with real-world industry standards, with hands-on projects. The placement team provided outstanding support in securing job opportunities. Special thanks to Harish for his guidance throughout the process.

LinkedIn
Anchal Jemti
Anchal Jemti

Cloud Engineer

Quote icon

Industry-ready learning with excellent placement guidance

I joined the Cloud and DevOps training program to enhance my skills. The curriculum matched industry requirements and included hands-on experience. The placement team provided excellent support in finding opportunities. Special regards to Harish and CEO Bhavesh for building such a powerful platform.

LinkedIn
Rohith Prajwal
Rohith Prajwal

Cloud & DevOps Intern

Quote icon

Well-organized training with knowledgeable instructors

I had a fantastic experience with CloudThat. The training was well organized and the instructors were knowledgeable and supportive. I learned a lot about cloud technologies and now feel more confident using them. Hands-on exposure to AWS tools like EC2, S3, and Lambda gave me a strong technical edge.

LinkedIn
Rajshekar Patil
Rajshekar Patil

DevOps Engineer

Quote icon

Hands-on curriculum with strong placement support

I enrolled in the Cloud and DevOps training program where the curriculum aligned with real-world standards and included hands-on projects. The placement team helped me secure opportunities. Thanks to Harish for guidance and Bhavesh for creating such an impactful platform

LinkedIn
Lalitha Venkata Krishna
Lalitha Venkata Krishna

DevOps Intern

Inside the Classroom Experience

Who Should Apply for this Agentic AI Course?

  • Software Developers & Engineers

    Build AI capabilities into the applications you already develop.

  • Data Scientists

    Extend your skills from predictive models to LLMs, RAG and AI agents.

  • ML Engineers

    Move into Generative AI and Agentic AI engineering.

  • Cloud Engineers

    Develop skills to build and support enterprise AI systems.

  • Automation Engineers

    Explore AI-powered workflow automation and autonomous systems.

  • Solution & Product Architects

    Understand how Agentic AI can be designed into enterprise solutions.

  • IT Professionals

    Build practical AI engineering capabilities for your next career move.

  • AI Enthusiasts & Researchers

    Turn AI concepts into practical applications.

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Agentic AI Course Admission & Enrolment Process

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.

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Apply & Complete Eligibility

Register online, submit your application, and complete the counselling and eligibility process.

Admission step icon
Reserve Your Seat

Complete the fee payment and receive your batch confirmation.

Admission step icon
Start Learning

Get LMS access and begin your live weekend learning journey.

Program Fee & Payment Options

Flexible instalment options are available to help eligible learners pursue this comprehensive data science and AI course

Early Bird Offer

₹1,27,499 + GST

 15% off, subject to applicable terms and conditions.

Flexible Payment Options Installment/EMI options available.

₹1,49,999 + GST

Join the program and gain access to comprehensive training, projects, and career support. Flexible payment options available — starting at Rs. 4,999/month (EMI)

Financing Partners
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Admission Closes on : 30th Sept Apply Now

Get ahead of the curve by becoming an AI expert

Advance your career with a professional agentic AI course that goes further than most generative AI courses.

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Frequently Asked Questions – Advanced Generative and Agentic AI Professional Certification

No. The program starts with prerequisite phases in Python and mathematical foundations before moving into machine learning, deep learning and generative AI. You need basic Python and a working understanding of linear algebra, probability and statistics.
Yes, basic Python programming is part of the eligibility criteria. The prerequisite phase covers Python for AI, so a rusty foundation is not a barrier, but you should be comfortable writing simple programs before you start.
Yes. All learners get live class recording access, so a missed weekend session does not mean missed content.
Yes. The program includes capstone projects: a machine learning predictive model, NLP text classification, a RAG-based Q&A system, a GenAI chatbot and an enterprise agentic AI application, alongside hands-on labs and guided coding sessions throughout.
Yes. Agentic AI training runs across three phases totalling 32 hours, covering agent foundations, AI safety and guardrails, and advanced multi-agent systems, including tool calling, memory, workflow automation and enterprise AI architecture.
Yes. Retrieval-Augmented Generation is covered within the Generative AI and LLMs phase, along with semantic AI, embeddings and vector database concepts, and you build a RAG-based Q&A system as one of your capstone projects.
The program includes IIT (BHU) faculty sessions alongside training delivered by CloudThat AI experts, industry AI architects and enterprise AI practitioners.
Resume review, portfolio review, technical mock interviews and career mentoring.
Yes. The program runs on a weekend schedule across seven months, with 178 hours of live instructor-led training and recording access, so you can complete it without stepping away from your job.
Yes. On successful completion you earn a professional certification from I-DAPT, IIT (BHU) Varanasi, along with a project portfolio from your capstone builds.
Graduates target roles including AI Engineer, Generative AI Engineer, Agentic AI Engineer, AI Solutions Architect, AI/ML Engineer, LLM Application Developer and AI Automation Architect.
Most generative AI courses stop at fundamentals. This one continues into agentic systems, with 32 hours on agent design, multi-agent orchestration, evaluation and guardrails, and an enterprise agentic AI application as a capstone.
The program fee is ₹1,49,999 with installment options available through Propelled and Shopse.