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Course Overview
- Course Title: Certified Master in Agentic AI: A 52-Week Applied Program
- Instructor: School of AI (AI Academy)
- Target Audience:
- Professionals in AI, machine learning, or automation
- Developers and innovators
- Business leaders and technical teams
- Individuals interested in Agentic AI, LLMs, and multi-agent systems
- Prerequisites:
- Basic computer skills
- Familiarity with Python (refresher provided)
- Interest in AI, machine learning, or automation
- Computer with internet access for cloud tools and labs
Curriculum Highlights
- Key Topics Covered:
- Agentic AI foundations (LLMs, memory, tools, goals)
- AI agent frameworks (LangChain, LangGraph, CrewAI, AutoGPT, BabyAGI, LlamaIndex)
- Multi-agent systems (communication, task delegation, emergent behavior)
- Retrieval-Augmented Generation (RAG) with vector databases (FAISS, Pinecone, Chroma)
- Enterprise integration (APIs, cloud platforms, IoT, ERP/CRM systems)
- AI safety and governance (guardrails, human-in-the-loop feedback, ethical design)
- Performance optimization (memory tuning, latency reduction, cost management)
- Domain-specific AI agents (finance, healthcare, law, education, robotics)
- Autonomous AI agents (self-improvement, swarm intelligence, lifelong learning)
- AgentOps (CI/CD pipelines, deployment, observability, ROI evaluation)
- Capstone project (full-scale Agentic AI solution design and deployment)
- Key Skills Learned:
- Building and deploying AI agents for real-world applications
- Mastering Agentic AI frameworks (LangChain, LangGraph, CrewAI)
- Implementing multi-agent systems with collaboration protocols
- Applying RAG with vector databases (FAISS, Pinecone, Chroma)
- Integrating AI agents with enterprise systems, APIs, and cloud platforms
- Ensuring AI safety, governance, and ethical compliance
- Optimizing AI agent performance (latency, cost, ROI metrics)
- Designing domain-specific AI solutions (finance, healthcare, education)
- Deploying autonomous AI agents with self-improvement capabilities
Course Format
- Duration:
- 23.5 hours of on-demand video
- 52 weeks of structured learning (156 expert-led topics)
- Format: Self-paced online course with applied projects, labs, and case studies
- Resources:
- 141 articles
- 156 downloadable resources
- Access on mobile and TV
- Certificate of completion
Special Offer
- Limited Time Coupon Code: N/A