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Agentic AI Full Course 2026
4.9
Offered by Microsoft & DeepLearning.AISpecializationAccredited
Agentic AI Full Course 2026
Master autonomous goal-driven agents, PRAL loop architecture, LangGraph, Pydantic AI, MCP (Model Context Protocol), and multi-agent enterprise swarms.
4.9(84,310 ratings)
•324,500 already enrolled
Instructor: Dr. Harrison Chase
Founder & Creator of LangChain · LangChain AI
Curriculum Overview
About This Course
Master autonomous goal-driven agents, PRAL loop architecture, LangGraph, Pydantic AI, MCP (Model Context Protocol), and multi-agent enterprise swarms.
Throughout this track, you will transition from core conceptual mental models to building hardened, real-world software. Every module combines structured conceptual explanations with live in-browser coding katas, architectural diagrams, and automated test assertions. By completing the hands-on milestones, you build a verified portfolio demonstrating deep competency to engineering leaders and top employers.
Interactive In-Browser Katas
Write, compile, and debug real code in our integrated sandbox with instant test verification and syntax hints.
Production Architecture
Explore real enterprise patterns, memory trade-offs, concurrency paradigms, and scalable system design.
Verifiable Certificate
Earn an accredited, shareable digital credential authenticated by Microsoft & DeepLearning.AI and ASCI Institute.
Portfolio Capstone Project
Build and deploy an end-to-end applied capstone deliverable ready to showcase on your GitHub and resume.
Curriculum Highlights & Architectural Focus
- The PRAL Loop: Perceive, Reason, Act, and Learn
- ReAct and Planner-Executor Agent Architectures
- Cyclical Workflow Orchestration with LangGraph State Machines
- Model Context Protocol (MCP) Client and Server Integration
- Human-in-the-Loop Checkpoints, Guardrails & Evals with LangSmith
Technologies, Frameworks & Tooling Covered
Python 3.12LangGraphPydantic AIMCPCrewAILangSmithOllama
Course Specifications
Offered ByMicrosoft & DeepLearning.AI
CredentialSpecialization
Skill LevelAdvanced
Curriculum5 Modules · 7 Lessons
Commitment10 Weeks · Self-Paced
InstructionEnglish · Auto Subtitles & Transcripts
CertificateIncluded upon Completion
Free Audit Available · Full Access Included with Plus
Who Should Take This Course?
Ideal for students, software engineers, and technical professionals aiming to master Agentic AI Full Course 2026, pass technical interviews, and build production-grade applications.
Official Partner Masterclass
Official Course Video & Keynote
Official Course Video:Microsoft & DeepLearning.AI
Click to Watch Official Lecture
1080p HDAgentic AI Full Course 2026
Official Lecture & WalkthroughKey Lecture Chapters & Timestamps
What you will learn
Key competencies verified by Microsoft & DeepLearning.AI
Architect autonomous perception-reasoning-action-learning (PRAL) loops for goal-seeking agents
Build production-grade cyclic state graphs and human-in-the-loop workflows using LangGraph and Pydantic AI
Implement the Anthropic Model Context Protocol (MCP) to safely connect LLMs to local data stores and enterprise APIs
Deploy self-correcting multi-agent swarms with distributed memory, token guardrails, and deterministic evaluation benchmarks
Skills you will gain
Autonomous AI AgentsLangGraphModel Context Protocol (MCP)Pydantic AIMulti-Agent SwarmsTool Calling
Shareable Certificate
Earn a certificate upon completion backed by Microsoft & DeepLearning.AI.
100% Online & Self-Paced
Start instantly and learn at your own schedule from any device.
Hands-on Challenge Katas
Write, compile, and debug real code in the browser IDE.
Flexible Deadlines
Reset deadlines according to your personal availability.
Syllabus: What is in this Specialization
5 Modules · 7 Lessons · 4 Capstone Projects
•
1
Module 1: Foundations of Agentic AI & The PRAL Loop
Deconstruct the shift from passive prompt engineering to autonomous, stateful agency.
2
Module 2: Agent Design Patterns — ReAct, Planner & Reflection
Master industry design patterns that prevent infinite loops and optimize token budgets.
3
Module 3: LangGraph, Pydantic AI & MCP Protocols
Construct cyclic state graphs and standardize agent-tool interfaces via MCP.
4
Module 4: Multi-Agent Swarms & Hierarchical Orchestration
Deploy swarms of specialized subagents coordinated by an architect supervisor.
5
Module 5: Production Evals, Guardrails & Capstone
Benchmark autonomous reliability using LangSmith evaluations and NeMo Guardrails.
Capstone Applied Learning Project
Autonomous Enterprise Research & Code Generation Swarm
Design and deploy a distributed 3-agent swarm that autonomously ingests API documentation, generates type-safe SDK code, executes test suites in isolated sandboxes, and commits pull requests.
Final Deliverable
Production repository with LangGraph state machine, MCP servers, and evaluation telemetry dashboard.
Technologies & Stack
Python 3.12LangGraphFastAPIPydantic AIDockerPytest
Instructors
Learn from industry pioneers and senior educators from Microsoft & DeepLearning.AI
Dr. Harrison Chase
Founder & Creator of LangChain
LangChain AI
Pioneer in agentic graph orchestration and LLM application infrastructure.
94%
Positive Career Outcome
of learners reported starting a new role as an AI Engineer or received a salary promotion within 6 months.
Median reported compensation: ₹38,50,000 / year
Learner Reviews
4.9 out of 5(84,310 ratings)
March 2026
"The hands-on LangGraph and Model Context Protocol modules are the most up-to-date and rigorous anywhere online. Essential for building true autonomous systems."
Marcus VanceStaff AI Engineer at Stripe
Verified LearnerFrequently Asked Questions
Answers to common queries about certificates, grading, and prerequisites