Certified Master in Agentic AI: A 52-Week Applied Program
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Certified Master in Agentic AI: A 52‑Week Applied Program – taught by the School of AI – is a comprehensive Udemy course that lets you learn Agentic AI online and earn a professional certification. Updated July 2026, the program covers everything from LLM fundamentals to multi‑agent orchestration, giving you hands‑on experience building real‑world AI agents. Whether you search for a free Agentic AI course, an Agentic AI Udemy course, or want to learn AI agents online, this training delivers practical projects, industry‑grade tools, and a recognized credential.
What You'll Learn
- Build end‑to‑end AI agents using large language models, memory stores, and tool integrations.
- Master Agentic AI frameworks such as LangChain, LangGraph, CrewAI, AutoGPT, BabyAGI, and LlamaIndex.
- Learn to design multi‑agent systems with communication protocols, task delegation, and emergent behavior.
- Understand Retrieval‑Augmented Generation (RAG) pipelines and vector databases like FAISS, Pinecone, and Chroma.
- Create enterprise‑grade integrations with APIs, cloud platforms (AWS, Azure, GCP), and IoT devices.
- Implement AI safety guardrails, human‑in‑the‑loop feedback loops, and ethical governance.
- Apply performance‑tuning techniques to reduce latency, control costs, and evaluate ROI with advanced metrics.
- Deliver a capstone project that showcases a full‑scale Agentic AI solution for a business domain.
Course Details
- Instructor: School of AI
- Enrolled students: 549,769
- Language: en‑US
- Certificate: Yes, upon completion
- Includes: Lifetime access, mobile‑friendly video streaming, downloadable resources
(Rating and last‑updated date are not disclosed in the source material.)
What This Course Covers
Foundations of Agentic AI
- Anatomy of an AI agent: LLMs, memory, tools, and goal formulation.
- Core concepts of reasoning, planning, and autonomous decision‑making.
- Introductory labs that build a simple conversational agent from scratch.
- Real‑world use cases illustrating agent impact in business automation.
Agentic AI Frameworks
- Hands‑on implementation of LangChain, LangGraph, and CrewAI pipelines.
- Exploration of AutoGPT, BabyAGI, and LlamaIndex for rapid prototyping.
- Framework‑specific debugging and performance‑monitoring techniques.
- Comparative analysis to select the right framework for a given problem.
Multi‑Agent Systems
- Design patterns for communication protocols and task delegation.
- Building collaborative agents that exhibit emergent behavior.
- Scaling strategies for large agent swarms and workload distribution.
- Case studies in finance, healthcare, and robotics where multi‑agent coordination shines.
Retrieval‑Augmented Generation & Vector Databases
- Constructing RAG pipelines that augment LLM outputs with external knowledge.
- Configuring FAISS, Pinecone, and Chroma for efficient similarity search.
- Optimizing vector indexing for low‑latency, high‑throughput queries.
- Practical labs that integrate RAG into domain‑specific agents.
Enterprise Integration & Deployment
- Connecting agents to ERP, CRM, and other enterprise systems via APIs.
- Deploying AI agents on AWS, Azure, and GCP using containerization and serverless options.
- Automation with workflow tools like n8n and Zapier for end‑to‑end pipelines.
- Observability setups using Prometheus, Grafana, and OpenTelemetry.
AI Safety, Governance & Optimization
- Implementing guardrails, adversarial defenses, and ethical design principles.
- Human‑in‑the‑loop feedback loops for continuous improvement.
- Tuning memory management, latency reduction, and cost‑control mechanisms.
- Measuring ROI through advanced metrics and reporting dashboards.
Capstone Project
- Define a business problem and design a custom Agentic AI solution.
- Develop, test, and deploy the solution in a cloud environment.
- Prepare a presentation and portfolio‑ready demo for recruiters or stakeholders.
- Receive peer and instructor feedback to refine the final deliverable.
Who Should Take This Course
- AI/ML professionals and engineers expanding into Agentic AI and multi‑agent systems.
- Software developers and data scientists applying AI agents to finance, healthcare, education, or robotics.
- Product managers and business leaders seeking to automate workflows with trustworthy AI.
- Entrepreneurs and startup founders building AI‑powered products and services.
- Students and career changers aiming for a fast‑track entry into the AI and machine‑learning job market.
Prerequisites
- Basic programming knowledge in Python.
- Familiarity with machine‑learning concepts or prior exposure to LLMs is helpful but not required.
- No prior experience with Agentic AI; the course is designed to be beginner‑friendly.
Why Enroll in This Course
The program delivers a full‑stack Agentic AI education that bridges theory and production‑grade implementation. A free coupon provides 100 % off for a limited time, making the certification accessible without financial risk. Enrolling now ensures you benefit from the most up‑to‑date curriculum before the offer expires later this month, positioning you ahead of peers in the rapidly evolving AI landscape.
Course Highlights
- Lifetime access to 156 expert‑led topics and continuous updates.
- Self‑paced learning with downloadable resources and mobile‑friendly video playback.
- Certificate of completion that validates you as a Certified Master in Agentic AI.
- Hands‑on labs covering 7 major AI frameworks and real‑world integration scenarios.
- Capstone portfolio project that demonstrates end‑to‑end agent deployment.
- 30‑day money‑back guarantee for risk‑free
Affiliate link — we may earn a commission
Affiliate link — we may earn a commission. Learn more
