Agents, Not Chatbots
Build AI systems that plan multi-step actions, use external tools, and complete tasks with minimal human input.
Early BirdSave ₹15,000Agentic AI CourseBuild Autonomous AI Agentsin 16 Weeks
Go beyond chatbots. Master LangChain, LangGraph, CrewAI, AutoGen, and multi-agent orchestration, and build production-grade AI agent systems.
Enroll Now - ₹49,999
- 16 Weeks Duration
8+ Projects Portfolio- 15+ Tools Industry
- 100% Live Sessions
About the ProgramWhat is This Agentic AI Course?
The Modern Agent Stack
Work hands-on with LangChain, LangGraph, CrewAI, AutoGen, and multi-agent orchestration frameworks.
Production-Ready
Deploy, monitor, and evaluate agent systems the way engineering teams run them in production.
Build Your Portfolio
Graduate with deployed agent projects, from support agents to research and code-review agents.
The ProblemWhy most AI courses don't work
The market is flooded with certificates that don't lead to jobs. We built Mindgorithm to fix what's broken.
$10.8B Agentic AI Market in 2026
The global agentic AI market is projected to reach $47–57 billion by 2030–31.
300%+ Job Posting Growth
LinkedIn India saw over 300% growth in job postings requiring AI agent skills between January 2025 and March 2026.
50,000+ Professionals Needed
NASSCOM projects 50,000+ specialized agentic AI professionals needed in India alone by 2027.
Every Industry Is Hiring
Banking, healthcare, retail, legal: every sector needs people who build with AI.
The gap isn't knowledge, it's applied skill. Those who can actually build Agentic AI systems will command the biggest career advantage of this decade.
Ready to
future-proof your career?
Join 500+ professionals who've chosen practical AI training.
Who Should JoinIs This Agentic AI Course Right for You?
This program is designed for anyone ready to build real AI skills regardless of their technical background.
Freshers &
Career Starters
Enter the job market with rare, high-demand agentic AI skills.
Working
Professionals
Transition into AI roles or lead AI automation initiatives at your company.
Software
Developers
Go beyond LLM wrappers.
Business &
Ops Leaders
Identify AI automation opportunities, lead agentic AI projects, and speak confidently with engineering teams.
Eligibility: Bachelor's degree with min. 50% • Coding experience NOT required
CurriculumAgentic AI Course Curriculum
7 Modules, 8+ Projects
A 16-week industry-ready Agentic AI course. Master LangChain, LangGraph, CrewAI, AutoGen, and multi-agent orchestration. Build 7+ production-grade AI agent systems.
Foundations of AI & Large Language Models
Build a solid base — understand how LLMs think, generate, and reason before building agents on top
- How LLMs work: transformers, attention mechanisms, tokenization
- Prompt engineering: zero-shot, few-shot, chain-of-thought prompting
- Retrieval-Augmented Generation (RAG) fundamentals
- Embeddings and vector databases (Pinecone, ChromaDB)
- API integration with OpenAI, Claude, and open-source models
Agent Design & Architecture
Learn how to think like an agent builder — design systems that reason, plan, and act autonomously
- What makes an AI agent: perception, reasoning, action, memory
- Agent architectures: ReAct, Plan-and-Execute, LATS, Reflexion
- Workflow design: sequential, parallel, hierarchical, state-machine
- Designing for reliability: guardrails, fallbacks, human-in-the-loop
- Evaluating agent quality and correctness
Agent Development & Tool Integration
Build agents that connect to the real world — APIs, databases, search engines, and custom tools
- Function calling and tool use with LLM APIs
- Building custom tools: API connectors, database queries, web scrapers
- Memory systems: short-term, long-term, episodic, semantic memory
- Error handling, retries, and graceful degradation
- Testing and debugging complex agentic pipelines
Multi-Agent Systems & Orchestration
Scale beyond single agents — build systems where multiple AI agents collaborate to solve complex problems
- Why multi-agent systems? When one agent isn't enough
- Agent communication protocols and message passing
- Orchestration patterns: supervisor, swarm, debate, pipeline
- Tools: CrewAI, AutoGen, LangGraph — deep dives
- Role-based collaboration and task delegation between agents
Production Systems — Deploy, Monitor, Evaluate
Ship your agents to production — containerize, deploy to cloud, monitor, and optimize at scale
- Containerizing agents with Docker
- Deploying to cloud: AWS, GCP, Azure with FastAPI
- Monitoring and observability: LangSmith, Langfuse — tracing every decision
- Cost optimization and latency management in production
- Security best practices for production AI agent systems
Advanced Topics — Fine-Tuning, Multimodal & Autonomous Systems
Push beyond standard agent patterns into cutting-edge territory used at top AI companies
- Fine-tuning models for domain-specific agent behavior
- Multimodal agents: processing text, images, audio, and video
- Autonomous systems and self-improving agent loops
- Enterprise deployment patterns and architecture reviews
- Emerging agent patterns: memory graphs, long-horizon planning
Capstone Projects — Ship Production-Grade Agent Systems
Build 2 full capstone projects chosen from a bank of 7+ real-world agentic AI systems
- Customer Support Agent: end-to-end ticket resolution with tool use
- Code Review Agent: GitHub PR analysis with automated comments
- Sales Outreach Agent: lead identification, personalized emails, CRM sync
- Research Agent: web search, paper synthesis, structured report generation
- Full production pipeline: build → deploy → monitor → evaluate
Tools You'll Master
LangChain
LangGraph
CrewAI
OpenAI API
Claude
Gemini
Hugging Face
FastAPI
Docker
Python
OllamaPortfolio ProjectsYou Will Build 8+ Real AI Applications
Not toy examples — applications you can deploy and show employers.
RAG-Powered Document Q&A Agent
Build an agent that answers questions from your own documents. Uses vector databases, embeddings, and retrieval chains to deliver accurate, cited responses.
- LangChain
- RAG
- Pinecone
- OpenAI
Task-Planning AI Agent
Design and build an agent that can break complex goals into sub-tasks, plan execution order, and track progress — using ReAct and Plan-and-Execute architectures.
- ReAct
- LangGraph
- Tool Use
- Planning
Autonomous Research Assistant
An AI agent that autonomously searches the web, reads papers, synthesizes findings, and generates a structured, cited research report on any topic.
- Web Search
- CrewAI
- Citations
- Multi-step
Multi-Agent Content Pipeline
Coordinate a team of specialized AI agents — researcher, writer, editor, publisher — to produce a full content creation pipeline with role-based collaboration.
- CrewAI
- AutoGen
- Multi-Agent
- Pipeline
Customer Support Agent
Build an enterprise-grade support agent that reads tickets, queries a knowledge base, executes refunds via API, and escalates edge cases to humans.
- Tool Use
- LangGraph
- APIs
- Human-in-loop
Code Review Agent
An agent that pulls PRs from GitHub, analyzes code for bugs and security issues, writes review comments, and suggests fixes — all autonomously.
- GitHub API
- Code Analysis
- AutoGen
- Security
Sales Outreach Agent
Identify leads from data sources, craft personalized outreach emails, schedule follow-ups, and sync activity back to CRM — a fully autonomous sales pipeline.
- Automation
- CRM
- Email API
- CrewAI
Capstone: Your Production Agent System
Build a complete, production-deployed agentic AI system that solves a real problem of your choice. Full mentor support, cloud deployment, and observability included.
- End-to-End
- Docker
- Cloud
- LangSmith
Build these
projects and more
Graduate with a portfolio that proves your skills — not just a certificate.
Career OutcomesWhere This Agentic AI Course Takes You
Agentic AI skills are in explosive demand. Here are the roles you'll be qualified for.
- ₹15–30 LPA
Agentic AI Developer
High demand across startups & enterprises
- ₹12–40 LPA
AI Engineer
High demand, 40%+ YoY growth in India
- ₹25–50 LPA
Multi-Agent Systems Architect
Very High demand, senior-level role
- ₹15–35 LPA
AI Automation Engineer
Essential at every scale-up company
Salary ranges are estimates and vary by experience and company.
Regular Price: ₹65,000
₹49,999
- Early Bird Price — Save ₹15,000
- Batch starts: Upcoming Weekend
- Duration: 16 weeks • 100% Live
- Lifetime curriculum updates included
Small Batch Size
Only 50 seats per batch.
Direct Instructor Access
WhatsApp group for quick doubt resolution.
Lifetime Updates
Agentic AI evolves fast.
Agentic AI Professional Certification
Industry-recognized certificate validating your ability to design, build, deploy, and monitor production-grade agent systems.
Alumni Network Access
Join a growing community of agentic AI practitioners across Hyderabad and India.
Frequently Asked QuestionsQuestions? We've got answers.
Yes. The course starts with AI and LLM foundations before progressing to agent design and multi-agent systems. You need basic Python proficiency and logical thinking. Prior machine learning experience is helpful but not required. If you can write a simple Python script, you have enough to start.
You need basic Python knowledge — variables, functions, loops, and working with APIs. If you can write a simple Python script, you have enough to start. We cover the essential programming patterns for agent development in the early modules.
Graduates qualify for roles including Agentic AI Developer (₹15–30 LPA), AI Engineer (₹12–40 LPA), Multi-Agent Systems Architect (₹25–50 LPA), and AI Automation Engineer (₹15–35 LPA). Demand is surging with 300%+ growth in job postings for agentic AI skills on LinkedIn India.
Absolutely. The course is designed for working professionals with a 10–15 hour/week commitment over 16 weeks. All sessions are available as recordings with flexible scheduling. Weekend classes are the core format, supplemented by weekday project sessions.
Yes. Upon completing all modules, assignments, and capstone projects, you receive an industry-recognized Agentic AI Professional Certification that validates your ability to design, build, deploy, and monitor production-grade AI agent systems.
You get access to live mentor sessions, a peer community, recorded lectures you can revisit anytime, and 1-on-1 doubt-clearing sessions. The course is designed with flexibility for your schedule.
You'll master LangChain, LangGraph, CrewAI, AutoGen, and OpenAI Assistants API for agent building. For LLM providers: OpenAI GPT-4o, Anthropic Claude, and open-source models via Ollama. For deployment: Docker, AWS/GCP/Azure, FastAPI, LangSmith, and Langfuse.
Yes. If you're not satisfied after the first 2 weeks of the program, we'll refund 100% of your fee. No questions asked. We're confident you'll love the course, but we want you to join risk-free.
Ready to
Master Agentic AI?
Join the next batch. Learn by building. Walk away with skills that matter.