AI Pro: Generative AI & Agentic AI Course in HSR Layout

    Get Add on IIITB Certification

    Build and deploy production-grade GenAI applications

    Design Retrieval-Augmented Generation (RAG) systems

    Architect AI solutions for enterprise use cases

Duration

3 Months

New Batch Starts

31 July 2026

For Enquiry

9321961808

Scholarships

Upto 50%*

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Program Highlights

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Add-on Certification from IIIT-B

2 Masterclasses by IIIT-B Faculty

Work on 15+ Live Projects

6000+ Career Transitions

1200+ Hiring Partners

Free Access to 12+ Programming Tools

Industry-Ready Curriculum

Masterclasses by Industry Experts

Career Support & Placement Assistance

3 Years Access to Career Portal

3 Years Access to Learning Portal

Program Curriculum

MODULE 01: Foundations of Applied GenAI Systems

Learners Will Build:

  • Prompt engineering pipelines
  • Token, context & response control mechanisms
  • Evaluation pipelines

Key Outcomes:

  • Structured GenAI pipelines
  • LLM output control
  • Cost & latency evaluation
  • Use-case identification

MODULE 02: Retrieval-Augmented Generation (RAG) Systems

Learners Will Build:

  • End-to-end RAG pipelines
  • Embedding-based semantic search systems
  • Context-aware Q&A over enterprise knowledge

Key Outcomes:

  • Deploy RAG using embeddings & vector DBs
  • Implement chunking & retrieval strategies
  • Troubleshoot hallucinations

MODULE 03: Agentic AI & Autonomous Workflows

Learners Will Build:

  • Multi-step agent workflows with tool calling
  • Autonomous task execution systems
  • AI agents integrated with APIs

Key Outcomes:

  • Agent reasoning & decision flows
  • Memory-based planning logic
  • Failure handling & safety boundaries

MODULE 04: System Architecture & Deployment

Learners Will Build:

  • API-based GenAI services
  • Local & cloud-ready deployments
  • End-to-end architectures

Key Outcomes:

  • Deploy GenAI & Agentic systems
  • Design optimized system architectures
  • Apply responsible AI practices

Capstone: End-to-End GenAI & Agentic AI System

Capstone Deliverables:

  • Enterprise document intelligence platform
  • Autonomous workflow automation agent
  • AI assistant combining RAG + Agent workflows

Curriculum Outcome:

  • Own an AI problem end-to-end
  • Justify architecture & tools
  • Deliver a deployable AI system

Get Future-Ready with the Latest AI Tools

  • Python
  • Pandas
  • NumPy
  • OpenAI
  • LangChain
  • LangGraph
  • FAISS
  • Hugging Face
  • Neo4j
  • Jupyter
  • Streamlit
  • GitHub
  • Power BI
  • n8n

What Makes This Program Stand Out?

Learning Focus

Coverage

Hands-on Depth

Projects

Outcome

AI Pro

Building & deploying AI systems

GenAI, RAG, Agentic AI, Deployment

System-level, production-style

End-to-end deployed systems

Applied AI / GenAI Engineer readiness

Other AI Courses

Prompt usage & tools

Mostly GenAI

Tool-level demos

Mini or mock projects

Conceptual familiarity

Why Choose upGrad Learning Support Centre in HSR Layout?

Book A Visit at upGrad Learning Support Centre

Meet our experts, explore programs in detail, and see how our blended learning approach helps you achieve real career growth.

Schedule your Visit

Explore the Learning Support Centre in Bangalore

Visit the Learning Support Centre in Dehradun

Location

HSR Layout Bangalore

Phone Number

9321961808

Working Hours

10 AM - 8 PM

Visit us here in HSR Layout, Bangalore

3rd Floor, HSR Optima, No. 1672/A, 14th Main Rd, 7th Sector, HSR Layout, Bengaluru, Karnataka 560102, India

360° Career Support

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Aptitude Training

Resume Building

LinkedIn Profile Evaluation

Interview Question Bank

1:1 Mock Interview Calls

Hands-on Technical Learning

Soft Skill Training

GD/Interview Prep

Eligibility Criteria

  • Graduation in any stream (B.E., B.Tech, B.Sc, B.Com, B.A., etc.)
  • Basic understanding of programming or logical thinking is preferred
  • No prior experience in Generative AI or Agentic AI required

Admission Process

Please find below the detailed steps to be followed as a part of the admission process.

Start Your Application

Follow the below application process to begin your enrollment process. 

Career Roles You Can Pursue After Completing the AI Pro Course at upGrad's HSR Layout, Bangalore Centre

Job Role

Entry-Level Salary

Mid-Level Salary

Senior / Lead Salary

Generative AI Engineer

~₹6 L – ₹12 L per year

~₹12 L – ₹25 L per year

₹25 L – ₹50 L+ per year

AI Engineer / AI Developer

~₹8 L – ₹12 L per year

~₹10 L – ₹22 L+ per year

₹22 L – ₹30 L+ per year*

AI Solutions Architect (GenAI Focus)

~₹14 L – ₹15 L per year

~₹20 L – ₹25 L per year

₹37 L – ₹40 L+ per year

What Our Learners Have to Say

Mentored by Top Professionals

3

Faculty Members

Certificate in AI Pro: Generative AI & Agentic AI Course

AI Pro: Generative AI and Agentic AI Course in HSR Layout, Bangalore

AI Pro: Generative AI and Agentic AI course in HSR Layout combines online learning with offline classroom sessions in Bangalore. Designed with industry experts, the program covers prompt engineering, LLMs, RAG pipelines, and agentic AI systems through hands-on, project-based learning.

If you're comparing Gen AI programs in Bangalore, this course pairs a job-focused curriculum with in-person mentorship, labs, and placement support, everything you'd expect from a top-tier GenAI course in Bangalore, backed by an active offline centre.


Why Choose upGrad Learning Support Centre HSR Layout?

Bangalore is India's AI and technology capital, home to product companies, research labs, and startups actively building with generative and agentic AI, making HSR Layout one of the best places to pursue a Gen AI course in Bangalore. upGrad's Learning Support Centre is designed to give learners more than just course access; it offers a complete offline environment to learn, practice, and network.

When you compare Gen AI institutes in Bangalore, this blend of online flexibility with offline structure is what sets this program apart. The Gen AI and Agentic AI course fee also compares favorably once you factor in offline mentorship, labs, and placement support bundled into the program.


Key facilities provided at the HSR Centre:

  • Classrooms. Every batch gets access to dedicated, well-equipped classrooms designed for focused, distraction-free learning, where sessions are conducted live so learners can ask questions and get their doubts resolved in real time.
  • Smart Labs. Learners get hands-on access to smart labs built for practical AI development, covering LLM experimentation, prompt engineering, and agent-building tools, so concepts learned in class can be applied and tested immediately.
  • Mentorship. Regular one-on-one mentorship sessions with experienced AI practitioners help learners get personalized feedback, clarify career direction, and stay on track throughout the program.
  • Counselling. Dedicated academic and career counselling helps learners choose the right learning path based on their background, goals, and the roles they want to move into after the course.
  • Interview Rooms. A dedicated space is available for learners to practice and prepare for real interview scenarios, helping them build confidence before facing actual recruiters.
  • Networking Events. The centre regularly organises meetups and networking sessions with AI professionals, alumni, and industry experts, helping learners build valuable professional connections early on.
  • Student Community. Learners become part of an active, cohort-based student community that encourages collaborative learning, peer support, and shared problem-solving throughout the course.
  • Career Services. End-to-end career support is provided, covering resume building, LinkedIn profile optimisation, and a structured job search strategy tailored to each learner.


Generative AI and Agentic AI Course Structure at Bangalore

The Generative AI and Agentic AI course in HSR Layout takes learners from foundational AI and machine learning concepts to advanced, production-ready generative and agentic AI systems. For anyone looking up Gen AI course details before enrolling, the curriculum is built around real-world projects, industry case studies, and tool-based learning, with offline sessions reinforcing what's taught online.

Each module blends conceptual learning with practical application. Instead of just watching lectures, learners build LLM-powered applications, design AI agents, and work with real datasets.

Modules

Topics Covered

AI & Machine Learning Foundations

Python for AI, machine learning basics, neural networks, deep learning fundamentals

Generative AI & LLMs

Large language models, transformer architecture, fine-tuning, model evaluation

Prompt Engineering

Prompt design patterns, few-shot prompting, chaining, prompt optimisation

Retrieval-Augmented Generation (RAG)

Vector databases, embeddings, RAG pipelines, knowledge retrieval systems

Agentic AI Systems

AI agents, multi-agent workflows, tool use, autonomous task execution

Capstone & Deployment

End-to-end GenAI/agentic project, model deployment, MLOps basics, production readiness


Gen AI and Agentic AI Skills You Will Learn:

  • Foundations: Python, machine learning, and neural network fundamentals for AI development
  • Generative AI: Working with LLMs, transformers, and fine-tuning techniques
  • Prompt Engineering: Designing effective prompts and prompt chains for reliable outputs
  • RAG Systems: Building retrieval-augmented generation pipelines using vector databases
  • Agentic AI: Designing autonomous AI agents capable of multi-step task execution
  • Deployment: Taking GenAI and agentic AI projects from prototype to production


Who Should Join upGrad's GenAI and Agentic AI Course at HSR Layout Centre?

This course is designed for learners at different stages of their career, and Gen AI course eligibility typically requires a graduate degree along with basic programming knowledge or a strong interest in AI:

  • Freshers and recent graduates looking to start a career in AI with job-ready, practical skills
  • Software developers and engineers who want to specialise in generative and agentic AI systems
  • Data scientists and analysts looking to add GenAI and agent-building skills to their toolkit
  • Product managers and technical leads who want to understand AI systems to build or manage AI products
  • Career switchers from adjacent tech roles looking for a structured, offline-supported route into applied AI

Since Gen AI course eligibility mainly depends on aptitude rather than a specific degree, learners exploring any GenAI course in Bangalore with a genuine interest in AI can apply, regardless of academic background.


Nearby Areas We Cater for the Students

upGrad's HSR Layout Learning Support Centre is accessible to learners across South and East Bangalore, making it convenient for students from several nearby localities to attend offline sessions for this GenAI course in Bangalore, along with mentorship meetings and networking events.

Nearby Area

Koramangala

BTM Layout

Bellandur

Sarjapur Road

Marathahalli

Electronic City

Indiranagar

JP Nagar

Bommanahalli

Whitefield


Career Opportunities After Completing Programs

Bangalore's concentration of AI-first startups, product companies, and enterprise AI teams drives strong demand for GenAI and agentic AI talent, making this one of the fastest-growing career paths in the city's tech ecosystem, and a key reason graduates from leading Gen AI institutes in Bangalore are seeing quick placement traction.

Job Role

Gen AI Annual Salary in Bangalore

GenAI Engineer

₹10–18 LPA

Prompt Engineer

₹8–15 LPA

AI/ML Engineer

₹9–18 LPA

Agentic AI Developer

₹12–22 LPA

AI Solutions Architect

₹18–30 LPA

Souce: AmbitionBox


Top Recruiters Hiring GenAI and Agentic AI Talent in Bangalore:

  • Google
  • Microsoft
  • Amazon
  • Flipkart
  • Accenture
  • Infosys
  • Wipro
  • NVIDIA
  • Salesforce


upGrad's AI Pro: Generative AI and Agentic AI course in HSR Layout builds job-ready GenAI and agentic AI skills through offline mentorship, labs, and placement support. For full Gen AI course details, fee, and eligibility criteria, connect with the HSR Layout centre directly.

Frequently Asked Questions

The curriculum covers Foundations of Applied GenAI, RAG Systems, Agentic AI & Auto Workflows, Architecture & Deployment, and a Capstone project. You will learn to build prompt pipelines, design RAG systems, and create AI agents. The course focuses on real-world implementation. It also teaches deployment and system design for enterprise use.