
Agentic AI, AI Agents, RAG & MCP Certification Prep: 6 Exams
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Agentic AI, AI Agents, RAG & MCP Certification Prep: 6 Exams – taught by Nourane Laabidi
If you’re searching for a free AI Agents course, an Agentic AI Udemy course, or a way to learn Agentic AI online in 2026, this Udemy offering delivers exactly that. Updated July 2026, the program focuses on practical exam‑style practice, AI‑agent architectures, Retrieval‑Augmented Generation (RAG), and Model Context Protocol (MCP) certification preparation. You’ll finish with a Udemy‑issued certificate and the confidence to tackle AI‑engineer interviews or certification exams.
What You'll Learn
- Build end‑to‑end AI Agent workflows using LangChain, LangGraph, CrewAI, and AutoGen.
- Master the fundamentals of Large Language Models (LLMs) that power modern AI Agents.
- Learn how Retrieval‑Augmented Generation (RAG) integrates vector databases, embeddings, and semantic search.
- Understand planning, memory, reasoning, and tool‑usage roles within single‑ and multi‑agent systems.
- Create realistic practice‑exam questions that mirror AI Engineering and AI Automation certification tests.
- Implement security, governance, and responsible‑AI practices to mitigate hallucinations and data‑privacy risks.
- Analyze real‑world deployment scenarios for customer‑support, research, and sales automation agents.
- Apply MCP (Model Context Protocol) concepts to manage context across enterprise AI workflows.
Course Details
- Instructor: Nourane Laabidi
- Rating: 5.0 stars (reviews not disclosed)
- Language: English (en‑US)
- Last updated: July 2026
- Certificate: Yes, upon completion
- Includes: Lifetime access, mobile & desktop friendly, regular updates for 2026
What This Course Covers
AI & LLM Fundamentals
- Generative AI concepts and transformer architecture
- Prompt engineering, tokenization, and context windows
- Embeddings and vector representations for semantic search
AI Agents & Agentic AI
- Core agent architectures and autonomous decision‑making
- Planning, memory, tool usage, and function calling in agents
- Human‑in‑the‑loop designs and workflow orchestration
Retrieval‑Augmented Generation (RAG)
- RAG architecture and knowledge‑grounding techniques
- Vector databases, semantic search, and hybrid retrieval pipelines
- Context injection strategies for accurate answer generation
Multi‑Agent Systems
- Collaboration patterns and inter‑agent communication protocols
- Task delegation, supervisor agents, and swarm intelligence concepts
- Orchestration patterns for large‑scale AI deployments
AI Agent Frameworks
- Hands‑on with LangChain, LangGraph, CrewAI, AutoGen, and OpenAI Agents
- Building pipelines in n8n AI Agents for workflow automation
- Extending frameworks with custom tool integrations
AI Security & Governance
- Identifying AI risks, hallucinations, and data‑privacy concerns
- Implementing responsible‑AI guidelines and governance frameworks
- Securing AI agents for enterprise‑grade deployments
Who Should Take This Course
- Beginners who want a practical, exam‑focused introduction to AI Agents and Agentic AI.
- Software developers transitioning to AI Engineering or LLM‑based system design.
- Data scientists expanding their skill set into multi‑agent and RAG technologies.
- Automation engineers building AI‑driven workflows with APIs and LLM tools.
- IT professionals & solution architects designing enterprise AI‑automation solutions.
Prerequisites
- No prior experience needed — this course is beginner‑friendly.
- Familiarity with basic programming concepts (Python preferred) is recommended but not required.
Why Enroll in This Course
This Udemy course offers a free coupon that provides 100 % off for a limited time, making it an attractive option for anyone seeking a zero‑cost certification prep. The practice‑exam format mirrors real‑world AI Engineer assessments, helping you pinpoint knowledge gaps and boost confidence. Compared with generic tutorials, this training delivers focused, exam‑ready content that aligns with industry demand for Agentic AI expertise.
Course Highlights
- Lifetime access to all practice exams and explanations.
- Self‑paced learning with mobile‑friendly video and text resources.
- Certificate of completion that can be added to LinkedIn or a résumé.
- 500+ high‑quality questions covering AI Agents, RAG, MCP, and security.
- Scenario‑based questions that simulate real enterprise AI deployments.
- Regular updates ensuring content stays current with 2026 AI trends.
Frequently Asked Questions
Q: Is this course really free?
A: Yes. A free coupon provides 100 % off the regular Udemy price for a limited period, allowing you to enroll at no cost while the coupon remains valid.
Q: What will I learn in this Agentic AI course?
A: You will master AI Agent architectures, LLM fundamentals, Retrieval‑Augmented Generation, multi‑agent collaboration, MCP protocols, and AI security practices—all through exam‑style practice tests and detailed explanations.
Q: Do I get a certificate after completing this course?
A: A Udemy‑issued certificate of completion is awarded once you finish all modules and practice exams, which you can showcase on professional profiles.
Q: Is this course suitable for beginners?
A: Absolutely. The curriculum starts with core AI and LLM concepts before progressing to advanced agent frameworks, making it accessible to newcomers and experienced developers alike.
Q: How long do I have to enroll for free?
A: The free coupon is available for a limited time; enroll now to secure the 100 % discount before the offer expires.
Final Thoughts
Agentic AI, AI Agents, RAG & MCP Certification Prep: 6 Exams equips beginners and seasoned technologists alike with the skills and confidence needed to pass AI certification exams and succeed in AI‑agent roles. Grab the free coupon, start practicing today, and launch your journey toward becoming an Agentic AI professional.
Affiliate link — we may earn a commission
Affiliate link — we may earn a commission. Learn more




