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v6.6.38

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Certified Master in Agentic AI: A 52-Week Applied Program

Master AI Agents, LLMs, and Multi-Agent Systems with 156 Hands-On Topics in a Year-Long Applied Program

  1. Topics
  2. IT & Software
  3. Agentic AI Systems

Certified Master in Agentic AI: A 52-Week Applied Program

InstructorSchool of AI
Duration30h 51m
Students18.3K
Rating4.5 (416)

More Related Topics

  • Large Language Models (LLMs)194
  • Prompt Engineering & AI Conte…44
  • Multi-Agent Systems64
  • Applied AI & Real-World Proje…33
  • Retrieval-Augmented Generation233
  • Model Context Protocol (MCP)115
  • AB-100 Exam Prep8
  • AI Agent Development432
  • LLM Engineering & Ops17
  • LangChain for LLMs138
Price
$0.00
$17.99
Coupon
99/100 uses left
Last checked 3d ago
Access
Premium only
Upgrade to unlock this course deal

Coupon history

Comidoc has tracked 31 coupons for this course since 2025, last checked 46h ago. On average, a new coupon appears roughly every 11 days.

Coupon codeDiscountAddedStatusLifetime
JULFREE02100% offJul 3, 202605:22 PM UTCExpired~29 daysRan full term
JULFREE01100% offJul 3, 202605:16 PM UTCExpired28d 13h
JULFREE03100% offJul 3, 202601:35 PM UTCExpired~29 daysRan full term
JUNFREE01100% offJun 5, 202603:38 PM UTCExpired~27 daysRan full term
JUNFREE02100% offJun 4, 202602:44 AM UTCExpired~28 daysRan full term
JUNFREE03100% offJun 2, 202604:03 AM UTCExpired~30 daysRan full term
Comidoc Analysis

A Year-Long Technical Path Through Agentic AI Frameworks

Strengths

Broad Framework Coverage

The curriculum includes dedicated modules for major agentic frameworks including LangChain, LangGraph, CrewAI, AutoGPT, and LlamaIndex.

Applied Lifecycle Focus

Instruction spans the full lifecycle of agentic AI, from foundational mechanics to domain-specific labs in finance, healthcare, and legal sectors.

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AI Engineer Core Track: LLM Engineering, RAG, QLoRA, AgentsLigency ​4.7 (39.2K)33h 28m
LangChain- Agentic AI Engineering with LangChain & LangGraph
Eden Marco
4.6 (52.6K)19h 43m
Intro to AI Agents and Agentic AI365 Careers4.5 (58.4K)2h 11m
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Claude Code - The Practical GuideAcademind by Maximilian Schwarzmüller4.5 (14.3K)3h 12m
UiPath - Level 1 Agentic RPA DeveloperBryan Lamb4.6 (13.9K)9h 43m
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100 AI Agents in 100 Days 2026Vivian Aranha4.1 (1,411)7h 56m

Limitations

Potential Library Mismatch

One signal suggests that some code samples may not align with the most recent versions of Python libraries. This review predates the displayed update, and the update label does not prove a correction has been made.

Instructional Currency Concerns

A critical signal indicates that portions of the material may be out of date, specifically regarding Python instruction. This review predates the displayed update, and the update label does not prove a correction has been made.

Best suited to

  • AI/ML professionals expanding into autonomous systems
  • Software developers seeking project-led agent training
  • Technical learners interested in multi-agent orchestration

Less suited to

  • Learners requiring absolute parity with the latest library versions

Comidoc Score

6.7/10

Worth considering
Defined audience

Comidoc verdict

The program moves from fundamental programming and LLM mechanics into specialized agentic frameworks and industry-specific applications, culminating in a multi-week capstone project.

The technical depth is supported by a wide array of framework-specific modules and domain labs. However, the utility of these lessons may be impacted by the rapid evolution of the field; some signals suggest that code samples might not fully reflect the latest library updates.

This program is best suited for developers and AI professionals who value a long-term, structured roadmap and are comfortable navigating potential versioning shifts in their technical environment.

Score breakdown

Curriculum depth
8.0

The curriculum covers a wide range of specialized topics including framework-specific modules and industry-specific agent labs.

Applied learning
8.0

The program is heavily project-led, featuring numerous labs and a multi-week capstone sequence.

Clarity & experience
4.3

Instructional clarity is a point of concern for some learners regarding the delivery of foundational Python content. One signal suggests that code samples may be outdated; this review predates the displayed update, and the update label does not prove a correction has been made.

Currency & reliability
5.0

The curriculum covers modern frameworks, but some signals indicate potential aging of code samples relative to current library versions.

Audience fit
6.5

The curriculum aligns with the stated goals of professionals and developers seeking agentic AI expertise.