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4-Week AI Agents & Agentic Workflows Certification

Build practical AI agents, RAG systems, tool workflows, and multi-agent automation from beginner to portfolio-ready.

  1. Topics
  2. Development
  3. AI Agent Development

4-Week AI Agents & Agentic Workflows Certification

InstructorSchool of AI
Duration7h 16m
Students648
Rating4.0 (2)

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Price
$0.00
$14.99
Coupon
99/100 uses left
Last checked 4d ago
Access
Premium only
Upgrade to unlock this course deal

Coupon history

Comidoc has tracked 9 coupons for this course since 2026, last checked 1h ago.

Coupon codeDiscountAddedStatusLifetime
JULFREE02100% offJul 3, 202605:23 PM UTCExpired~29 daysRan full term
JULFREE01100% offJul 3, 202605:17 PM UTCExpired~29 daysRan full term
JULFREE03100% offJul 3, 202612:06 PM UTCExpired~29 daysRan full term
JUNFREE02100% offJun 19, 202601:50 AM UTCExpired~30 daysRan full term
JUNFREE01100% offJun 19, 202601:50 AM UTCExpired~30 daysRan full term
JUNFREE03100% offJun 19, 202601:47 AM UTCExpired~30 daysRan full term
Comidoc Analysis

Agentic Workflow Development via Weekly Labs

Strengths

Structured Lab Progression

The curriculum utilizes a weekly cadence of hands-on labs, moving from single-agent builds to RAG integration and multi-agent coordination.

Comprehensive Agentic Patterns

Instruction covers essential agent mechanics including the Think → Act → Observe loop, memory management, and tool integration.

Limitations

Limited Instructional Feedback

There is no available learner signal regarding teaching clarity or the quality of the instructional experience.

Best suited to

  • Developers building AI agent systems
  • Professionals automating workflows with LLMs
  • Students seeking portfolio-ready AI projects

Less suited to

  • Learners requiring deep machine learning theory
  • Those seeking extensive theoretical foundations

Comidoc Score

6.5/10

Worth considering
Defined audience

Comidoc verdict

The learning path begins with fundamental agent reasoning loops and expands into multi-agent orchestration and RAG systems. This progression is anchored by weekly labs that focus on practical implementation, such as building stateful agents and coordinating specialized roles like Planner or Executor.

The final stage centers on a capstone project designed to simulate production environments through the inclusion of guardrails, observability, and testing. This provides a technical framework for moving from simple prompting to complex, automated workflows.

This curriculum is best suited for developers and technology professionals who prefer a hands-on, lab-driven approach to mastering agentic architectures.

Score breakdown

Curriculum depth
8.0

The curriculum covers diverse agentic concepts including reasoning loops, memory, RAG, and multi-agent orchestration.

Applied learning
6.5

Learning is driven by weekly labs and a final capstone project focused on building functional agent systems.

Clarity & experience
5.0

No substantive sampled-review evidence was available to move teaching clarity away from a neutral assessment.

Currency & reliability
5.0

The available evidence does not establish enough about current reliability to move this dimension away from neutral.

Audience fit
6.5

The curriculum aligns with the stated goals for developers and professionals interested in agentic workflows.

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