Do I need prior LLM experience?

Not required. We start with agent foundations and progress to multi-agent systems, Agentic RAG, and LLMOps.

Which tools and frameworks are covered?

LangChain, LangGraph, CrewAI, AutoGen, MCP; vector DBs (Qdrant/FAISS/Weaviate); eval/tracking (RAGAS, DeepEval, LangSmith, LangFuse, LangTrace); serving (vLLM, TGI, Ollama) and Azure/AWS.

What roles can I target after completion?

AI Engineer (Agents), Applied AI/RAG Engineer, LLMOps/Platform Engineer. Typical Bangalore packages range ~₹18–35 LPA based on experience.

Are sessions live and interactive?

Yes. Live mentor-led classes, office hours, and discussion channels. All sessions are recorded for later review.

Do you provide placement assistance?

Yes—portfolio projects, mock interviews, resume reviews, and mentor referrals across Bangalore’s product companies and GCCs.

AGENTIC AI COURSE IN BANGALORE

Build real Agentic AI—multi-agent systems, multimodal agents, and MCP-based tool orchestration. Master LangChain, LangGraph, CrewAI & AutoGen, retrieval-first RAG, memory, evaluation, tracking, and serving for cloud & local deployments.

Book a Demo

School of Core AI - Data Science Course Visual

Benefits of the Agentic AI Course in Bangalore

Designed for Working Pros

Evening cohorts • mentor 1:1s • capstone reviews tailored for Bangalore engineers

100% Online + Recordings

Live mentor-led sessions with lifetime access to class recordings and code walkthroughs

6 Projects + 8 Case Studies

Multi-agent orchestration with LangGraph, CrewAI & Autogen • Agentic RAG • MCP-based toolchains

Placement Assistance

Portfolio polish • mock system design interviews • referrals into Bangalore GCCs & startups

Learning Format

Live Online + Recordings

Course Duration

16 Weeks

Next Cohort starts

08 Dec, 2025

Program Highlights

Real Multi-Agent Systems

Planner–act–reflect loops, role design, tool schemas, memory and guardrails with LangGraph, CrewAI & AutoGen.

Agentic RAG & Evaluation

Hybrid retrieval, rerankers, grounding, and eval harnesses with RAGAS/DeepEval; regression tests and trace reviews.

Serving & LLMOps

vLLM/TGI/Ollama for local & cloud; Azure OpenAI & AWS Bedrock pipelines; observability with LangSmith/LangFuse/LangTrace.

MCP & Tooling at Scale

Standardized tool interfaces with MCP, multi-tool orchestration, budgets, rate limits, retries, and safety reviews.

Check Out the Full Agentic AI Course Curriculum

This Bangalore page gives you a local view. For the complete Agentic AI curriculum, projects, tools, and certification details, visit the main course page.

See Full Curriculum & Certification

Why Learn Agentic AI in Bangalore

India’s AI capital needs engineers who can ship agents—not just prompts. Build production-grade multi-agent and multimodal systems that companies can trust.

Bangalore’s product companies and GCCs—from Koramangala to Indiranagar, Whitefield and ORR—are adopting agent architectures for real workloads. This course is engineered for working professionals to design, evaluate, deploy and operate Agentic AI across cloud and local stacks.

Why SCAI’s Agentic AI Course in Bangalore Stands Out

Production-grade agent engineering vs typical LLM demos.

Features	School of Core AI	Other Institutes
Learning Format	100% live online + recordings + mentor office hours	Recorded videos • limited interaction
Agent Depth	Multi-agent systems, MCP tools, memory, safety & budgets	Single-agent chat flows, shallow tool calls
Agentic RAG & Evals	Hybrid retrieval, rerankers, RAGAS/DeepEval, regression	Basic RAG, no evaluation harness
Serving & Ops	vLLM/TGI/Ollama, Azure/AWS, telemetry, CI/CD	No clear guidance on deployment/ops
Projects	6 projects + capstone, portfolio-ready with tracing	Toy mini-projects without observability
Placement	Portfolio reviews, mocks, referrals (Bangalore focus)	Generic job portal access

Feature

Learning Format

School of Core AI

100% live online + recordings + mentor office hours

Other Institutes

Recorded videos • limited interaction

Feature

Agent Depth

School of Core AI

Multi-agent systems, MCP tools, memory, safety & budgets

Other Institutes

Single-agent chat flows, shallow tool calls

Feature

Agentic RAG & Evals

School of Core AI

Hybrid retrieval, rerankers, RAGAS/DeepEval, regression

Other Institutes

Basic RAG, no evaluation harness

Feature

Serving & Ops

School of Core AI

vLLM/TGI/Ollama, Azure/AWS, telemetry, CI/CD

Other Institutes

No clear guidance on deployment/ops

Feature

Projects

School of Core AI

6 projects + capstone, portfolio-ready with tracing

Other Institutes

Toy mini-projects without observability

Feature

Placement

School of Core AI

Portfolio reviews, mocks, referrals (Bangalore focus)

Other Institutes

Generic job portal access

Placement-Focused Agentic AI Training (Bangalore)

Expert-Led Sessions

16 weeks led by practitioners deploying LangGraph, CrewAI, AutoGen and RAG workflows in production.

Flexible & Online

100% online, mentor-led classes with full recordings, code walkthroughs, and office hours for busy schedules.

Real-World Assignments

Planner design, tool-calling, memory, Agentic RAG, eval pipelines, budgets, retries, and safety checks.

Live Doubt-Clearing

Weekly mentor hours for unblocking builds, design reviews, trace analysis, and performance tuning.

Mock Interviews

Agent architecture, RAG design, and troubleshooting rounds aligned to Bangalore’s hiring bar.

Career & Placement

Portfolio reviews, referrals, and salary negotiation guidance for roles across Koramangala, Whitefield, ORR.

Agentic AI Course in Bangalore

Train like an engineer: multi-agent systems, multimodal agents, MCP tools, and reliable deployment—built for Bangalore’s hiring bar.

100% online with live mentors and recordings. Build a portfolio recruiters trust: LangGraph/CrewAI/AutoGen agents, Agentic RAG with evals, and serving via vLLM/TGI/Ollama or Azure/AWS.

What You’ll Learn: Agentic Engineering & Outcomes

Roles & Skills in Bangalore

Target AI Engineer (Agents), RAG Engineer, Applied AI, LLMOps roles in product teams and GCCs.

Agent Design Patterns

Planner–tool–memory patterns, schema-constrained IO, guardrails, budgets, retries, and safety gates.

Agentic RAG & Multimodal

Hybrid retrieval, reranking, citation discipline; vision/speech interfaces and tool-augmented agents.

Serving & Operations

vLLM/TGI/Ollama, Azure/AWS, tracing & metrics, CI/CD, blue-green, shadow tests, and cost control.

Learning Roadmap

Industry-Recognized Agentic AI Certification (Bangalore)

Earn a verifiable certificate after projects and final review—demonstrating multi-agent design, RAG grounding, eval literacy, and deployment skills.

Hiring Partners

Career Opportunities for Agentic AI in Bangalore

Koramangala–Indiranagar–Whitefield–ORR host India’s strongest Agentic AI hiring—from product unicorns to global captive centers.

AI Engineer (Agents) 18-26%
Applied AI / RAG Engineer 20-28%
LLMOps / Platform 16-22%
Data Scientist (GenAI) 14-20%
AI Safety / Governance 3-6%

AI Engineer (Agents)

Design multi-agent systems with planning, memory, tool schemas and safety. Employers: Flipkart, Razorpay, Swiggy, Walmart Global Tech. Median CTC: ₹22–35 LPA.

Applied AI / RAG Engineer

Retrieval-first agents, reranking, evaluation, and grounding. Employers: Accenture, Infosys, Google, Microsoft. Median CTC: ₹20–32 LPA.

LLMOps / Platform

Serve/optimize LLMs (vLLM/TGI), telemetry, CI/CD, cost control. Employers: Cisco, SAP Labs, Atlassian GCC. Median CTC: ₹20–30 LPA.

Data Scientist (GenAI)

Agent-augmented analytics and experimentation. Employers: Fractal, Mu Sigma, unicorn startups. Median CTC: ₹18–28 LPA.

AI Safety / Governance

Policy, risk reviews, red-teaming for agent systems. Employers: BFSI, health-tech GCCs. Median CTC: ₹16–26 LPA.

In-Demand Agentic AI Skills (Bangalore)

Hire-ready skills to meet Bangalore’s product and platform standards.

Agent Design: planner loops, memory, retries, budgets, safety gates

Agentic RAG: hybrid retrieval, rerankers, citation discipline, eval harnesses

Frameworks: LangChain, LangGraph, CrewAI, AutoGen • MCP interfaces

Observability: LangSmith, LangFuse, LangTrace • regression & tracing

Serving & Ops: vLLM, TGI, Ollama • Azure/AWS pipelines • CI/CD

Vector DBs: Qdrant, FAISS, Weaviate • versioned chunking strategies

Multimodal Agents: VLMs, speech (Whisper/TTS), document & vision tools

MCP & Multi-Tool Orchestration: standardized tooling at scale

Governance: prompt/version control, red-teaming, safety reviews

Advance Your AI Engineering Journey in Bangalore

From building autonomous agents to operating enterprise-grade AI in production, choose a track aligned to your role.

📘

Agentic AI Engineering

📘

LLMOps – LLM Operations & Deployment

📊

AIOps – Full AI Lifecycle Ops

Our Vibrant Student Community

Learn alongside engineers and PMs from Bangalore’s product teams and GCCs. Collaborate in online cohorts, code reviews, and peer mock interviews.

Built for Working Professionals

Live mentor access & recordings

Peer networking & hiring signals

Shared repos & code reviews

Interview prep groups

Job leads & referrals

Alumni work across unicorns, GCCs, and enterprise AI teams in Bangalore and beyond.

Our Alumni Network

Agentic AI Course Fees (Bangalore)

Single transparent fee covering complete training, real-world projects, certification and placement support. EMI and part-payment options are available with our counsellor.

Total Course Fee

₹39,000

Final fee, EMI plans and any ongoing offers will be confirmed by your counsellor based on your batch, mode and payment preference.

Call Now for EMI & Details Go to Course Page

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Curriculum Fees Placement Projects

LLM Mastery – Mastering Large Language Models

Fine-tuning (LoRA/QLoRA), inference optimization, evaluation

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Python/SQL/ML foundations plus applied GenAI analytics

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Testimonials from Our Bangalore Learners

At Flipkart’s AI team, I needed to move beyond data pipelines into multi-agent orchestration. The Bangalore program helped me build production-grade agents with LangGraph and CrewAI—directly relevant to my role.

Rahul S.

AI Engineer

Coming from a fintech startup in Koramangala, I wanted practical Agentic RAG and evaluation exposure. The portfolio projects on planning + tool-calling made a real difference in my interviews with Fractal and Razorpay.

Megha T.

Applied AI Specialist

I had a data science background but was struggling with system-level design. The Bangalore course clarified agent patterns, memory, retries, and safety guardrails. Within three months, I transitioned to an AI engineer role at Infosys R&D.

Siddharth P.

Machine Learning Engineer

What stood out was the ecosystem connect—the mentors were working on cutting-edge GenAI systems in Bangalore startups. The peer group was equally strong, making networking as valuable as the technical content.

Ananya R.

GenAI Developer

Frequently Asked Questions

16 weeks, designed for working professionals, with live online classes and full recordings.

AGENTIC AI COURSE IN BANGALORE

Benefits of the Agentic AI Course in Bangalore

Program Highlights

Why Learn Agentic AI in Bangalore

Why SCAI’s Agentic AI Course in Bangalore Stands Out

Placement-Focused Agentic AI Training (Bangalore)

Agentic AI Course in Bangalore

What You’ll Learn: Agentic Engineering & Outcomes

Learning Roadmap

Industry-Recognized Agentic AI Certification (Bangalore)

Hiring Partners

Career Opportunities for Agentic AI in Bangalore

In-Demand Agentic AI Skills (Bangalore)

Advance Your AI Engineering Journey in Bangalore

Our Vibrant Student Community

Built for Working Professionals

Our Alumni Network

Agentic AI Course Fees (Bangalore)

Testimonials from Our Bangalore Learners

Frequently Asked Questions

How long is the Agentic AI course?

Do I need prior LLM experience?

Which tools and frameworks are covered?

What roles can I target after completion?

Are sessions live and interactive?

Do you provide placement assistance?