Agentic AI is the next frontier. LLM driven agents with memory, tools, and planning can reason, retrieve knowledge, and take actions to achieve business outcomes. This 52 week applied program is the most comprehensive hands on training designed to help professionals master Agentic AI, AI agents, and Large Language Models from foundations to advanced applications. Across 52 weeks and 156 expert led topics, you will gain practical skills in AI agent design, multi agent systems, frameworks like LangChain, LangGraph, CrewAI, AutoGPT, BabyAGI, and LlamaIndex, RAG with vector databases (FAISS, Pinecone, Chroma), AI memory, reasoning, planning, safety, and deployment.

This Course Offers

• Foundations of Agentic AI and AI agent anatomy: Master the anatomy of an AI agent including LLMs, memory, tools, and goals. Build and deploy AI agents using LLMs, memory, tools, and reasoning strategies across real world business and technical domains.
• Agentic AI frameworks and multi agent systems: Master Agentic AI frameworks like LangChain, LangGraph, CrewAI, AutoGPT, BabyAGI, and LlamaIndex. Implement multi agent systems with communication protocols, task delegation, and emergent behavior for complex workflows.
• RAG, vector databases, and enterprise integration: Apply Retrieval Augmented Generation (RAG) with vector databases like FAISS, Pinecone, and Chroma to boost agent performance. Integrate AI agents with enterprise systems, APIs, workflow tools, cloud platforms, and IoT for real world automation.
• AI safety, governance, optimization, and capstone: Ensure AI safety and governance with guardrails, human in the loop feedback, adversarial defense, and ethical design. Optimize AI agent performance by tuning memory, reducing latency, cutting costs, and evaluating ROI. Deliver a capstone project where you design, deploy, and present a full scale Agentic AI solution.

Why We Love This Course

1. It is comprehensive with 156 hands on topics across 52 weeks. You are not just watching videos. You are building real Agentic AI systems.
2. It covers the full stack of Agentic AI frameworks. You learn LangChain, LangGraph, CrewAI, AutoGPT, BabyAGI, and LlamaIndex, not just one tool.
3. It includes AI safety, governance, and AgentOps. Many Agentic AI courses skip safety and production deployment. This one does not.
4. One student review noted the course offers the transformation they seek in regard to AI and the digital economy.

Agentic AI is transforming workflows, automation, and business processes. The question is whether you want to become a Certified Master in Agentic AI with hands on projects across 52 weeks, or stay behind as AI agents reshape how work gets done.

• AI/ML professionals and engineers who want to expand their skills into Agentic AI, LLMs, and multi agent systems.
• Software developers and data scientists looking to apply AI agents across domains such as business, finance, healthcare, education, and robotics.
• Product managers and business leaders seeking to understand how Agentic AI can transform workflows, drive automation, and create new opportunities.
• Entrepreneurs and startup founders who want to design AI powered products and services.
• Students and career changers eager to break into AI with a structured, applied, project based program.
• IT professionals and system architects interested in integrating AI agents with enterprise systems, APIs, and cloud platforms.

• Basic computer skills and comfort with using software tools.
• Familiarity with Python is helpful but not required (a refresher is provided).
• An interest in AI, machine learning, or automation.
• A computer with internet access to run cloud tools, frameworks, and hands on labs.
• A willingness to learn by building projects, experimenting, and exploring new frameworks.

Interested in exploring more lessons? Check out our full course library to continue building your skills and advancing your learning journey.