Build AI Agents. Orchestrate AI Teams.
Our Agentic AI & Multi-Agent CrewAI Course takes you from single agents to autonomous AI teams — CrewAI, AutoGen, LangGraph, tool use, task orchestration and production agentic systems, taught through real multi-agent applications and capstone builds, not just theory.
Why Technogeeks X AI
A training partner built around outcomes, not just attendance.
Cutting-Edge Agentic AI
Every module covers what agentic AI engineers actually build — from single agents to autonomous teams.
Production Agent Systems
Build multi-agent systems that run autonomously — solving complex tasks, making decisions, executing workflows.
Practicing AI Engineers
Learn from mentors who actively build and deploy multi-agent systems for production use cases.
Small Batch Sizes
Focused, interactive batches so every learner gets architecture reviews and agent design feedback.
Placement & Career Support
Resume building, portfolio reviews and job assistance built into the program.
Proven Track Record
5000+ learners trained across our AI & automation programs.
Real skills, not just certificates
By the end of the Agentic AI & Multi-Agent CrewAI course, here's exactly what you'll be able to walk into an interview and demonstrate.
Design
Build autonomous AI agents with goals, tools and memory.
Orchestrate
Create multi-agent teams with CrewAI and task delegation.
Model
Design agent workflows with LangGraph state machines.
Deploy
Ship production agentic systems with monitoring and scaling.
Everything an Agentic AI Engineer needs
One connected toolkit, not a checklist — each skill below is taught in the context of the others.
AI
- CrewAI
- AutoGen
- LangGraph
- Agent Design
- Tool Use
- Task Orchestration
- Multi-Agent
- Memory
- Planning
- Production
From agent to autonomous team
Every project in this course follows the same pipeline a professional agentic AI engineer uses on the job.
-
01
Define
Goal · Role · Constraints
-
02
Equip
Tools · APIs · Memory
-
03
Orchestrate
CrewAI · Tasks · Flow
-
04
Execute
Autonomous · Parallel
-
05
Monitor
Logs · Metrics · Debug
-
06
Scale
Deploy · Optimize · Iterate
Multi-Agent Systems you'll actually build
Not toy demos — these are the real capstone projects inside the course, the same ones you'll show in interviews.
AI Research Team (CrewAI)
Problem — Needed automated research, analysis and report generation for market intelligence.
Stack — CrewAI, GPT-4, web search tool, document tools, collaborative tasks.
Outcome — 3-agent team autonomously producing research reports in 15 minutes.
Customer Support Agent Swarm
Problem — Support team needed 24/7 autonomous handling of complex multi-step queries.
Stack — AutoGen, LangChain, knowledge base, ticket system, escalation logic.
Outcome — Multi-agent system resolving 80% of tickets without human intervention.
AI Software Development Crew
Problem — Dev team needed automated code review, testing and documentation.
Stack — LangGraph, CrewAI, GitHub API, code analysis tools, state management.
Outcome — 4-agent team handling PR reviews, tests and docs autonomously.
Six phases, one connected program
The full syllabus is grouped into six learning phases so it's easier to see how everything fits together.
What makes an AI agent, autonomy spectrum, goals and objectives, tool use, memory architectures and agent design patterns.
Agent frameworks, role definition, tool integration, planning strategies, reflection and self-improvement loops.
CrewAI architecture, agent roles, task delegation, collaborative workflows, process management and crew optimization.
Microsoft AutoGen, multi-agent conversations, group chat, agent coordination and complex task decomposition.
LangGraph for agent workflows, state management, conditional edges, cycles and production-grade orchestration.
Deployment patterns, monitoring, cost optimization, safety and alignment, followed by an end-to-end multi-agent capstone.
Get an Industry-Recognized Certificate
A certificate that reflects real agentic AI work, not just seat time.
- Project-basedAwarded only after completing capstone multi-agent systems, not just attendance.
- ShareableAdd directly to your LinkedIn profile and resume.
- VerifiableEvery certificate carries a unique ID employers can verify.
- Industry-alignedMapped to the tools and skills employers actually screen for.
Learn by building autonomous agents
Every module pairs theory with hands-on agent building — not slides you scroll past.
- Agent DesignDefine role, goals, tools and constraints
- Tool IntegrationConnect APIs, databases and external services
- Crew AssemblyBuild multi-agent teams with CrewAI
- Task OrchestrationDesign workflows and delegation logic
- Deploy & MonitorShip autonomous systems with observability
Don't just build agents. Learn to orchestrate teams.
Multi-agent orchestration and production patterns are part of the core curriculum, not a bonus webinar.
Where this course takes you
Learn
CrewAI, AutoGen, LangGraph, agent design, tool use and orchestration fundamentals.
Build
Apply every module to real multi-agent systems with autonomous task execution.
Portfolio
Ship 4–5 deployed multi-agent systems you can demo live.
Interview
Mock interviews built around your own agent architectures.
Apply
Apply for roles with mentor and profile support.
Support that goes beyond the syllabus
Resume / CV
AI-focused resume highlighting multi-agent systems and architectures.
Mock Interviews
Practice rounds with real interview feedback on agent design.
Interview Prep
Common agentic AI interview questions and system design, solved.
Mentorship
Ongoing guidance from practicing agentic AI engineers.
Job Assistance
Access to relevant openings and referrals in AI teams.
Profile Guidance
GitHub, LinkedIn and portfolio review before you apply.
Alumni Working Across the Industry
A growing network of agentic AI engineers who started exactly where you are now.
Course Snapshot
Agentic AI & Multi-Agent Program
Agentic AI & Multi-Agent CrewAI Program
₹25,000 / full program
No-cost EMI options available
- + Live instructor-led training
- + 5 real-world multi-agent projects
- + CrewAI, AutoGen, LangGraph & AI tool access
- + Resume, mock interviews & job assistance
- + Certificate of completion
Frequently asked questions
An advanced program covering CrewAI, AutoGen, LangGraph, multi-agent orchestration, tool use and production agentic systems, built around real multi-agent projects.
Developers and engineers with Python experience and basic LLM knowledge — this is an advanced course building on foundational AI concepts.
CrewAI, Microsoft AutoGen, LangGraph, LangChain, LlamaIndex, various agent frameworks and production deployment tools.
Yes — Python is essential for all major agent frameworks. Strong Python proficiency is expected.
Yes — the program includes real multi-agent assignments and 5 capstone-style autonomous agent systems.
Yes, a certificate of completion is provided at the end of the program.
Resume building, mock interviews, mentorship and job assistance are included — see the Career Launchpad section above.
Yes, both online and offline learning modes are available.
Yes — use "Watch Free Demo" above or book a free counselling call to get access.
Yes — production patterns, monitoring, cost optimization and safety are core parts of the curriculum.