Agentic AI Course

3 Months Featured Specialization

Learn how to design, coordinate, and deploy production-grade AI agents in this live online Agentic AI Certification Course built for engineers and serious working professionals.

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Program fee

₹35,000

The fee is ₹35,000 for the full program with 8+ hands-on projects, mentor code reviews, a portfolio, and a completion certificate

fee is ₹35,000 for the full program with 8+ hands-on projects, mentor code reviews, a portfoli

What Is the Agentic AI Course at AI Career Academy?

A 12-week live, mentor-led online program that teaches you to build agentic AI — autonomous systems that reason, plan, and use tools — and deploy them to production using modern agent frameworks. The fee is ₹35,000 for the full program with 8+ hands-on projects, mentor code reviews, a portfolio, and a completion certificate.

What Will You Build in This Agentic AI Course?

Multi-agent customer-support pipeline RAG-powered research & retrieval agent Autonomous code-review & DevOps agent Enterprise workflow automation system

Who Is This Agentic AI Course For?

Software & ML engineers building agent systems Tech leads & architects designing AI workflows Platform & backend engineers integrating agents Engineering leaders driving AI-native products

Program Overview

A comprehensive training program designed to transform developers into autonomous AI system architects, covering everything from agent fundamentals to production deployment.

Autonomous Agent Development

Build self-governing AI agents capable of reasoning, planning, and executing complex tasks without constant human oversight.

Multi-Agent Orchestration

Design collaborative agent networks using LangGraph, CrewAI, and AutoGen for enterprise-scale workflow automation.

Advanced Reasoning Patterns

Master ReAct, Chain-of-Thought (CoT), and Tree-of-Thought (ToT) prompting strategies for intelligent decision-making.

Production-Ready Deployment

Deploy secure, scalable AI agents with MCP integration, observability tools, and enterprise-grade guardrails.

What You'll Learn

Master autonomous AI agent development with LangGraph, CrewAI, and AutoGen. Learn ReAct, CoT, and ToT reasoning patterns while building production-ready multi-agent systems.

Career Outcomes

Become an AI Agent Engineer, Automation Architect, or AI Solutions Developer. Work with cutting-edge agentic AI frameworks used by leading tech companies worldwide.

Why Engineers Choose This Program

9 reasons engineers and product leaders pick this program. Build Real Autonomous Agents Design and deploy agents with reasoning, memory, and multi-step workflows across real-world tasks. Multi-Agent System Expertise Coordinate teams of agents using CrewAI and LangGraph to solve complex enterprise problems. Hands-on with LangChain & AutoGen Master the most advanced frameworks to build, debug, and optimize agent-based applications. Enterprise-Ready RAG & Memory Fuse retrieval with long-term memory for smarter agent cognition using vector DBs and LangChain. PromptOps & Agent Reasoning Implement advanced prompting patterns—ReAct, CoT, ToT—for higher-quality agent decisions. Secure Agent Deployment (MCP) Deploy agents using Model Context Protocol (MCP), sandboxing, and secure function calling. AgentOps, Tracing & Guardrails Learn how to monitor, trace, and apply cost-control guardrails to production agent workflows. SDKs for Real Deployment Access OpenAI SDK, Google A2A, CrewAI, and LangGraph in real projects and GitHub-ready stacks. Mentorship from Agentic Engineers Learn from engineers building agent-based systems in real startups, products, and research labs.

What Sets This Course Apart

What you get in this program — and why each piece matters for real agent work.

Multi-Agent Architectures

Included: Build orchestrated systems with LangGraph, AutoGen, and CrewAI — context sharing, handoffs, and state. Why it matters: Real products need coordinated agents, not single prompt calls.

Agent Reasoning (PromptOps)

Included: Apply CoT, ReAct, ToT, and ReWOO patterns for step-by-step planning and tool use. Why it matters: Structured reasoning is what makes an agent reliable instead of random.

Secure Deployment (MCP)

Included: Use Model Context Protocol for scoped tool calling, sandboxing, and authenticated execution. Why it matters: Production agents touch real systems, so access has to be controlled and auditable.

RAG with Memory & Retrieval

Included: Ground agents with long-term memory, vector search, and contextual retrieval. Why it matters: Agents that remember and cite context give accurate, trustworthy answers.

Live Mentorship & Reviews

Included: Architecture reviews, use-case mentoring, and code-level debugging from practitioners. Why it matters: Feedback on your own build is where the real learning happens.

Capstone & Certificate

Included: Ship versioned agent projects to a GitHub portfolio plus a course completion certificate. Why it matters: You leave with proof of work you can walk an interviewer through.

Placement Support

Included: Resume review, project narration, mock interviews, and referral connections. Why it matters: Skills plus a clear job path, not just a recording library.

Tools & Frameworks You'll Use

Gain hands-on expertise with industry-leading tools powering autonomous AI systems at top technology companies worldwide.

Course Curriculum

Agent design

Module 1: Tools and memory

Agent and Tool Design
Tool Use Patterns
Memory Systems

Module 2: Planning

Task routing
Bounded behavior
Structured outputs

Orchestration

Module 3: Multi-agent systems

Multi-agent Orchestration
LangGraph and AutoGen Workflows
MCP patterns

Module 4: Evaluation

Evaluation Frameworks
Traces
Failure modes

Projects

Module 5: Applied agents

Support pipeline
Research agent
Workflow automation

Frequently asked questions

What Is the Agentic AI Course at AI Career Academy?

What Will You Build in This Agentic AI Course?

Multi-agent customer-support pipeline RAG-powered research & retrieval agent Autonomous code-review & DevOps agent Enterprise workflow automation system

Who Is This Agentic AI Course For?

Software & ML engineers building agent systems Tech leads & architects designing AI workflows Platform & backend engineers integrating agents Engineering leaders driving AI-native products

What You'll Learn

Master autonomous AI agent development with LangGraph, CrewAI, and AutoGen. Learn ReAct, CoT, and ToT reasoning patterns while building production-ready multi-agent systems.

Why Engineers Choose This Program

What Sets This Course Apart

What you get in this program — and why each piece matters for real agent work.

Who Is This Course For?

Choose the path that matches your role. All tracks include live sessions, projects, and certification.

What Our Learners Say

Real journeys from engineers and analysts who built agent systems in this program.

Ready to start?

Talk to an advisor about this program — 15 minutes, no sales pitch.

Book a career call Chat on WhatsApp

+91 87087 52385