Join industry leaders in learning how to build autonomous AI agents. From LLM fundamentals to production multi-agent systems. No prior AI experience required.
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GPT, Claude, Llama
LangChain, LangGraph
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See how our comprehensive, live program compares to other live courses
| Feature | π AgenticAI School | Other Live Courses |
|---|---|---|
| Curriculum Depth | 16 comprehensive modules β GenAI basics to production deployment | Typically 5β8 topics (Gen AI topics like Fine-tuning, LORA, are not covered) |
| Live Sessions | Weekly live instructor-led sessions | Live but limited schedule |
| Missed a Session? | Attend a different session or watch recordings | Recordings only (if available) |
| Frameworks Covered | LangChain, LangGraph, CrewAI, Semantic Kernel, GCP Vertex AI, AWS Bedrock | 2β3 frameworks |
| Capstone Project | Build, deploy & defend a real-world agentic system | Mini exercises or none |
| Exams & Certification | Exams + verified certificate with QR code | Certificate of completion |
| Community & Support | Discord, office hours | Forum or email support |
| Career Support | Resume review, mock interview bot, portfolio review | Rarely offered |
| AI Security & Governance | Dedicated module on PII, prompt injection, RBAC | Briefly mentioned or skipped |
| Production / MLOps | Full module on GenAI Ops, feature flags, rollbacks | Rarely covered |
| Payment Flexibility | One-time fee with 2- or 3-installment plans | Upfront or monthly subscription |
Real-world experience from engineering leadership at Amazon

Lead Instructor & AI Architect
Over two decades in IT, including nine+ years in engineering leadership at Amazon, building robust systems and scaling high-performing teams. Passionate about translating complex business challenges into deliverable solutions.
Teaching Philosophy: Focus on practical, production-ready AI systems that work in the real worldβnot just theory. Every concept is grounded in actual implementation experience from building and scaling AI applications.
Live sessions delivering cutting-edge AI curriculum to the next generation of engineers


These photos were taken during live in-person sessions at Arizona State University, where Karthik delivered comprehensive training on modern AI coding practices to engineering students. The same quality of instruction is brought to every AgenticAI School cohort.
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Agentic AI School
This certifies that
[Student Name]
has successfully completed the comprehensive curriculum in
Agentic AI Mastery
Including: LLM Fundamentals, RAG Systems, Multi-Agent Architectures, Production Deployment, and Security Best Practices
Karthik Venkatesan
Program Director
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Date Issued
Comprehensive curriculum designed by engineers who built AI at Google, OpenAI, and Meta
Build autonomous AI agents that can plan, reason, and execute complex tasks. Master LangChain, LangGraph, and multi-agent orchestration.
Understand transformers, attention mechanisms, and tokenization. Learn to optimize prompts and fine-tune models for your use case.
Implement production-ready retrieval systems. Work with Pinecone, Weaviate, and the Model Context Protocol (MCP).
Learn to secure AI systems against prompt injection, implement PII handling, and build safe, controllable agents.
Deploy agents at scale on AWS, GCP, and Azure. Learn monitoring, observability, and cost optimization strategies.
Build 5 production-ready AI agents including a customer service bot, code assistant, and research agent.
Join thousands of engineers, data scientists, and founders who have transformed their careers with our Agentic AI program.
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