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Agentic AI Course in Bangalore

Move beyond prompts and learn how to build real AI agents. In this hands on program you will design multi agent systems, integrate tools with MCP, build grounded RAG workflows, and learn how to deploy and debug systems like production teams do.

4.9★
Average Rating
1000+
Students Placed
150+
Hiring Partners
100%
Placement Support

Benefits of the Agentic AI Course in Bangalore

Built for Working Professionals

Evening friendly schedule with mentor guidance and structured capstone design reviews so you can learn alongside a full time job.

Live Online Sessions with Recordings

Attend live mentor led classes and revisit complete session recordings anytime with detailed code walkthroughs and explanations.

Projects and Real Case Studies

Work on multiple hands on projects covering agent orchestration Agentic RAG workflows and MCP based tool integration used in real systems.

Career and Interview Support

Get help with portfolio refinement mock interviews and guidance aligned to hiring expectations for agent and applied AI roles.

Learning Format
Live Online with Recordings
Course Duration
16 Weeks
Next Cohort starts
02 Mar, 2026

Program Highlights

Real Multi Agent Systems

Design agent workflows using planning loops role based agents tool schemas memory handling and safety guardrails built with LangGraph CrewAI and AutoGen.

Agentic RAG and Evaluation

Build retrieval driven agents with hybrid search reranking grounding and measurable evaluation workflows using structured testing and trace reviews.

Serving and LLM Operations

Deploy agents locally or on cloud infrastructure monitor system behavior track latency and control cost using production ready observability practices.

MCP Tooling and Safe Automation

Standardize tool interfaces with MCP orchestrate multiple tools safely and implement retries budgets rate limits and controlled execution workflows.

Main Course Page

Check Out the Full Agentic AI Course Curriculum

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

No signup required — explore at your own pace

What you'll find on the main page

Full Curriculum

Deep-dive modules covering every topic end to end

Hands-on Projects

Build portfolio-ready apps with real-world datasets

Certification

Industry-recognized certificate on completion

Career Support

Placement prep, mock interviews and resume reviews

Fee and EMI Plans

Transparent pricing with flexible payment options

4.9 Rated

Top-rated by 340+ working professionals across India

Industry-Recognized CertificationLive Mentor-Led SessionsPlacement Assistance4.9 ★ Average Rating

Why Learn Agentic AI in Bangalore

Bangalore teams are hiring engineers who can ship reliable agent systems.

Across Bangalore product teams and GCCs, AI work is moving from demos to real workflows. To get hired and grow fast, you must show tool using agents that are grounded, evaluated, and deployable. This Bangalore page highlights the engineering skills teams expect, including tool contracts, retrieval based RAG, evaluation loops, trace debugging, and production ready deployment.

Why SCAI’s Agentic AI Course in Bangalore Stands Out

Production-grade agent engineering vs typical LLM demos.

Feature
Learning Format
School of Core AI

Live online + recordings + mentor office hours

Other Institutes

Mostly recorded • 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 eval harness

Feature
Serving & Ops
School of Core AI

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

Other Institutes

No clear deployment/ops depth

Feature
Projects
School of Core AI

6 projects + capstone, portfolio-ready with tracing

Other Institutes

Toy projects without observability

Feature
Placement
School of Core AI

Portfolio reviews, mocks, referral guidance

Other Institutes

Generic job portal access

Placement Focused Agentic AI Training in Bangalore

01

Practitioner Led Sessions

16 week mentor led program taught by engineers who build agent systems and retrieval workflows in real products.

02

Live Online With Recordings

Attend live sessions and replay recordings with step by step code walkthroughs and structured weekly practice.

03

Engineering Assignments

Practice agent design tool integration memory handling retrieval based RAG evaluation pipelines and safety oriented execution.

04

Mentor Reviews and Debug Support

Get feedback on system design traces tool calls and failure handling so you learn how to improve quality over time.

05

Mock Interviews

Prepare for real rounds with agent architecture questions RAG tradeoffs evaluation strategy and troubleshooting scenarios.

06

Career Support for Bangalore Roles

Portfolio reviews resume polish and project storytelling aligned to hiring expectations in Bangalore product teams and GCCs.

Beyond Prompt Demos Agentic AI in Bangalore

Build agent systems designed for real production workflows and reliable deployment.

Learn the engineering practices teams expect when building agent systems. You will design tool contracts manage retries and budgets run evaluation driven iterations debug using traces and deploy safely on local or cloud environments. The program is mentor led with recordings and focuses on portfolio projects you can confidently explain in interviews.

What You’ll Learn: Agentic Engineering Outcomes

01

Role Readiness (Bangalore)

Prepare for AI Engineer (Agents), Applied AI/RAG Engineer, and LLMOps/Platform roles across product teams and GCCs.

02

Agent Design Patterns

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

03

Agentic RAG + Multimodal

Hybrid retrieval, reranking, citation discipline; document + vision tools, and tool-augmented multimodal agents.

04

Serving + Operations

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

Learning Roadmap

1

Foundation

  • Core concepts
  • Tools & setup
  • Hands-on intro
2

Build

  • Advanced techniques
  • Guided projects
  • Industry tools
3

Specialise

  • Elective tracks
  • Capstone project
  • Peer reviews
4

Launch

  • Portfolio prep
  • Mock interviews
  • Placement drive

Industry-Recognized Agentic AI Certification (Bangalore)

Earn a verifiable certificate after project reviews and final evaluation—showing multi-agent design, grounded RAG, eval literacy, and deployment skills.

Certificate of Completion

Issued by School of Core AI upon successful completion of the programme

Hiring Partners

Career Opportunities for Agentic AI in Bangalore

Bangalore’s product + GCC ecosystem is hiring for agent engineering across apps, platforms, and applied AI.

Roles
  • 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 gates for real workflows.

Applied AI / RAG Engineer

Build retrieval-first systems: chunking, hybrid search, reranking, grounding, and evaluation.

LLMOps / Platform

Serve/optimize LLMs (vLLM/TGI), run telemetry, CI/CD, and cost/latency control.

Data Scientist (GenAI)

Ship GenAI features with grounded RAG + eval-first workflows and practical experimentation.

AI Safety / Governance

Threat modeling, red-teaming, policy checks, and safety reviews for agent systems.

In-Demand Agentic AI Skills (Bangalore)

Engineering-first skills that match real hiring signals.

1
Agent design: planner loops, memory, retries, budgets, safety gates
2
Agentic RAG: hybrid retrieval, rerankers, grounding, eval harnesses
3
Frameworks: LangChain, LangGraph, CrewAI, AutoGen • MCP interfaces
4
Observability: tracing + regression review (LangSmith/Langfuse-style)
5
Serving: vLLM, TGI, Ollama • cloud pipelines • CI/CD
6
Vector DBs: Qdrant, FAISS, Weaviate • chunking strategies
7
Multimodal: VLMs, speech (Whisper/TTS), document + vision tools
8
MCP + multi-tool orchestration: standardized tooling at scale
9
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—pick a track aligned to your role.

Our Vibrant Student Community

Learn with engineers and PMs in live cohorts. Collaborate via code reviews, peer mocks, and shared repos.

Built for Working Professionals

Live mentor access & recordings
Live mentor access & recordings
Peer networking & hiring signals
Peer networking & hiring signals
Shared repos & code reviews
Shared repos & code reviews
Interview prep groups
Interview prep groups
Job leads & referrals
Job leads & referrals
Alumni work across product teams, GCCs, and enterprise AI groups 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
35,000

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

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LLM Mastery – Mastering Large Language Models

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

Data Science with GenAI – Freshers Track

Python/SQL/ML foundations + applied GenAI analytics

Testimonials from Our Bangalore Learners

I needed to move beyond demos into multi-agent orchestration. This program helped me build production-grade agents with LangGraph and CrewAI—directly relevant to my role.
RS
Rahul S.
AI Engineer
I wanted practical Agentic RAG and evaluation exposure. The planning + tool-calling projects made a real difference in my interviews.
MT
Megha T.
Applied AI Specialist
The course clarified agent patterns—memory, retries, and safety guardrails. It improved my system-level design confidence.
SP
Siddharth P.
Machine Learning Engineer
Strong mentor ecosystem + peer group. Networking was as valuable as the technical depth.
AR
Ananya R.
GenAI Developer

Frequently Asked Questions Agentic AI Course in Bangalore

The program is live online with mentor led sessions and full recordings. This Bangalore page highlights local hiring relevance and cohort context.