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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
Students21.5K
Rating4.5 (557)
Sponsored
Price
$0.00
$17.99
Coupon
100/100 uses left
Last checked 6h ago
Access
Premium only
Upgrade to unlock this course deal

Coupon history

Comidoc has tracked 36 coupons for this course since 2025, last checked 6h ago. On average, a new coupon appears roughly every 11 days.

Coupon codeDiscountAddedStatusLifetime
SEPTFREE02100% offSep 2, 202603:33 AM UTCExpired30d 12h
SEPTFREE01100% offSep 2, 202603:29 AM UTCExpired30d 13h
SEPTFREE03100% offSep 2, 202603:25 AM UTCExpired~31 daysRan full term
AUGFREE02100% offAug 1, 202604:57 PM UTCExpired30d 20h
AUGFREE03100% offAug 1, 202604:57 PM UTCExpired~31 daysRan full term
AUGFREE01100% offAug 1, 202604:57 PM UTCExpired30d 20h
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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LangChain- Agentic AI Engineering with LangChain & LangGraphEden Marco4.6 (53.6K)19h 51m
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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A critical signal indicates that portions of the material may be out of date, specifically regarding Python instruction.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.

More Related Topics

  • Large Language Models (LLMs)247
  • Prompt Engineering & AI Conte…44
  • Multi-Agent Systems93
  • Applied AI & Real-World Proje…42
  • Retrieval-Augmented Generation325
  • Model Context Protocol (MCP)174
  • AB-100 Exam Prep9
  • AI Agent Development581
  • LLM Engineering & Ops24
  • LangChain for LLMs177