Professional Training Program

Mastering Agentic AI

Where Developers Become Agent Builders

Transform your AI expertise from foundational concepts to enterprise-grade autonomous agent systems. Build production-ready multi-agent architectures with the most advanced frameworks.

12
Comprehensive Modules
15+
Frameworks & Tools
40+
Hours of Training
8
Weeks Duration
Industry Insights

The Agentic Revolution: 2026 Stats

The AI landscape is shifting from simple chatbots to autonomous agent systems. Here's what the data reveals.

87%

Enterprise Adoption

of Fortune 500 companies are investing in agentic AI systems for automation and decision-making by end of 2026.

$45B

Market Valuation

projected global market size for autonomous AI agent platforms and frameworks in 2026, growing at 156% CAGR.

340%

Demand Surge

increase in job postings requiring agentic AI skills including LangGraph, AutoGen, and multi-agent orchestration.

Industry Leaders

Voice of Visionaries

What industry pioneers are saying about the autonomous AI revolution.

"

"Agentic AI represents the next paradigm shift. We're moving from tools that respond to tools that reason, plan, and execute autonomously."

Demis Hassabis
DH

Demis Hassabis

CEO, Google DeepMind

"

"The future belongs to developers who can orchestrate multiple AI agents working together. This is the skill that will define the next decade."

Sam Altman
SA

Sam Altman

CEO, OpenAI

"

"Autonomous agents will handle 60% of knowledge work by 2027. Organizations need talent who can build, deploy, and govern these systems."

Dario Amodei
DA

Dario Amodei

CEO, Anthropic

The CodeAgents Advantage

Why CodeAgents.in?

Not all AI training is created equal. Here's what sets us apart from standard courses.

Standard GenAI Course

Simple Prompt Engineering

Basic prompting techniques without architecture depth

Basic Chatbot UI Development

Simple request-response patterns, no autonomy

Sequential "Chain" Workflows

Linear processing without cyclic reasoning or planning

No Production Deployment

Theoretical knowledge without real-world scaling

Limited Framework Coverage

Focus on 1-2 tools, missing enterprise frameworks

CodeAgents Mastery

Advanced Autonomous Agents

Self-directed reasoning, planning, and execution with reflection

Standardized Connectivity with MCP

Build universal tool interfaces using Model Context Protocol

Cyclic, Stateful Agentic Loops

Master LangGraph for complex reasoning with memory and state

Production Deployment & Observability

Scale to production with LangSmith, AgentOps, and monitoring

8+ Enterprise Frameworks

LangGraph, AutoGen, CrewAI, Agno, LlamaIndex, and more

The Mastery Roadmap

From core fundamentals to building autonomous multi-agent systems. This is the complete path to becoming an Agentic AI Engineer.

Phase 01: AI Literacy & Setup

  • AI Decoded: AI vs ML vs DL vs GenAI
  • ML Core: Supervised, Unsupervised & Reinforcement
  • Deep Learning: ANN, DNN & CNN Architecture
  • Environment: Virtual Envs, Gemini & OpenAI Setup

Phase 02: GenAI & Prompt Engineering

  • GenAI Internals: Foundational Models & Lifecycle
  • LLM Mechanics: Tokens, Parameters & Temperature
  • Prompting: Zero-shot, One-shot & Few-shot Methodologies
  • Knowledge RAG: Basics of Embeddings & Guardrails

Phase 03: Professional Orchestration

  • LangChain: LCEL, Chunking & LangServe
  • LangGraph: Nodes, Edges & Cyclic States
  • Advanced Flow: Subgraphs & Checkpointers
  • HITL: Human-in-the-loop Implementation

Phase 04: Multi-Agent Ecosystems

  • CrewAI: Collaboration, Tasks & Tools
  • MS AutoGen: Abstractions & Conversation Patterns
  • Agno (Phidata): Toolkits & Data Insights
  • Agentic RAG: Adaptive RAG & LlamaIndex

Phase 05: Agentic Ops & Observability

  • LangSmith: Workflow Management & Debugging
  • Monitoring: AgentOps & Langfuse
  • Safety: Code Execution & Guardrails
  • Deployment: Moving from Local to Cloud

Phase 06: No-Code & Market Mastery

  • Automation: N8N Architecture & Use Cases
  • Builder Tools: Lovable.ai, Julius AI & Custom GPTs
  • Productivity: Gemini GM, NotebookLM & Wispr Flow
  • Real-world: Strategy & Tool Selection

Phase 07: Private AI & Data Sovereignty

  • Ollama: Running Llama 3, Mistral & DeepSeek locally
  • HuggingFace: Model Hub, Datasets & Inference API
  • PII Masking: Redacting sensitive data for Enterprise Security
Download Full Detailed Syllabus (PDF)
Technology Stack

Frameworks & Tools You'll Master

Gain hands-on expertise with the most powerful and widely-adopted frameworks in the agentic AI ecosystem.

🦜
LangChain
πŸ•ΈοΈ
LangGraph
πŸ¦™
LlamaIndex
🎯
AutoGen
🚒
CrewAI
⚑
Agno
πŸ“Š
LangSmith
πŸ”
Langfuse
πŸ€–
OpenAI
🧠
Anthropic
🌐
Model Context Protocol
🐍
Python
Next Batch

Program Schedule

Flexible learning schedule designed for working professionals. Join our next cohort and learn alongside AI practitioners.

Batch 2026-Q1

8 Weeks β€’ Live Sessions β€’ Hands-on Projects

Start Date

Feb 28, 2026

Program kickoff with cohort introduction

Live Sessions

Every Saturday & Sunday

08:00 AM - 10:30 AM IST (2.5 hours per session)

Duration

8 Weeks Intensive

40+ hours of instructor-led training

Format

Online Learning

Live sessions

Your Instructor

Learn from Industry Veterans

Hands-on training from professionals with real-world enterprise experience in development, DevOps, and AI systems.

Lead Instructor

SENIOR ARCHITECT β€’ CODEAGENTS
20+ YEARS EXPERIENCE FULL-STACK EXPERT

Enterprise Development & Architecture

Two decades of building and architecting large-scale enterprise applications across diverse technology stacks and platforms.

Java .NET Node.js React.js Angular.js Microservices REST APIs System Design

DevOps & Cloud Infrastructure

Extensive hands-on experience in CI/CD pipelines, containerization, orchestration, and cloud-native application deployment at scale.

Jenkins Ansible Docker Kubernetes AWS EKS Git Shell Scripting CI/CD

AI & Agentic Systems Specialist

Specialized expertise in cutting-edge AI technologies, from foundational machine learning to advanced autonomous agent frameworks and production deployment.

Machine Learning Deep Learning NLP Gen AI LangChain LangGraph AutoGen RAG Systems Multi-Agent Systems

Why Learn from This Instructor?

20+
Years in Tech
50+
Enterprise Projects
15+
Technologies Mastered
∞
Real-World Insights

"I believe in teaching by doing." My approach combines deep theoretical understanding with hands-on implementation. Having built systems from monoliths to microservices, from on-premise to cloud-native, and now from traditional AI to autonomous agents, I bring practical insights that only come from real battle scars and production deployments.

Success Stories

What Our Learners Say

Join hundreds of professionals who have transformed their AI careers with CodeAgents.

β˜…β˜…β˜…β˜…β˜…

"The most comprehensive and practical Agentic AI course available. The module on LangGraph completely transformed how I architect AI applications. The hands-on projects gave me real production experience."

AK

Amit Kapoor

Senior AI Engineer

β˜…β˜…β˜…β˜…β˜…

"The deep dive into Microsoft AutoGen and Model Context Protocol was exactly what our engineering team needed. We've now deployed multiple agent systems in production with confidence."

SD

Sana Desai

CTO @ PromptLab

β˜…β˜…β˜…β˜…β˜…

"Simply the best technical AI course for 2026. The technical depth on multi-agent orchestration and observability is unparalleled. Worth every minute invested in learning."

RV

Rohan Varma

Technical Architect

Get In Touch

Contact Us

Ready to start your Agentic AI journey? Reach out to us and let's discuss how we can help you master autonomous agent systems.

Chat on WhatsApp

+91 99127 30473

Get instant answers to your questions about the course, batch schedules, and enrollment.

Start Chat β†’

Email Us

codeagents@gmail.com

Send us detailed queries about curriculum, pricing, corporate training, or custom requirements.

Send Email β†’

Ready to Master Agentic AI?

Join the next generation of AI practitioners building autonomous systems that are transforming industries.