Name: Certified Master in Agentic AI: A 52-Week Applied Program
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What You'll Learn

Build and deploy AI agents using LLMs, memory, tools, and reasoning strategies across real-world business and technical domains.
Master Agentic AI frameworks like LangChain, LangGraph, CrewAI, AutoGPT, BabyAGI, and LlamaIndex for hands-on applications.
Implement multi-agent systems with communication protocols, task delegation, and emergent behavior for complex workflows.
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.
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 with advanced metrics.
Deliver a capstone project where you design, deploy, and present a full-scale Agentic AI solution with practical business impact.

Requirements

Basic computer skills and comfort with using software tools.
Familiarity with Python (helpful but not required—we provide a refresher).
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.

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 with practical, scalable applications.
Students and career changers eager to break into the AI and machine learning field with a structured, applied, and project-based program.
IT professionals and system architects interested in integrating AI agents with enterprise systems, APIs, and cloud platforms.
Researchers and academics exploring the next frontier of autonomous systems, reasoning, and agent collaboration.

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