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v6.7.85

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From Prompt Engineering to Agent Engineering

Master the journey from prompt engineering to agent engineering — build real AI agents with ChatGPT, Claude, and Make.

  1. Topics
  2. IT & Software
  3. Prompt Engineering & AI Conte…

From Prompt Engineering to Agent Engineering

InstructorAnton Voroniuk• 1.250.000+ Students
Duration34h 40m
Students56.7K
Rating4.5 (2,914)
Sponsored
Price
$17.99
Coupon
None
No active coupon currently available
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Open on UdemyCurrent Udemy price

Coupon history

Comidoc has tracked 24 coupons for this course since 2025, last checked 30d ago. On average, a new coupon appears roughly every 17 days.

Coupon codeDiscountAddedStatusLifetime
DD6FD0BFAB0296DFC94F100% offSep 25, 202607:50 AM UTCExpired26d
E1412EA37C50A96E12FF100% offAug 23, 202605:30 AM UTCExpired11d 6h
0B5EBA976243A3D8B081100% offJul 23, 202607:43 PM UTCExpired30d 23h
A18E00DB944C197DF458100% offJun 20, 202608:14 AM UTCExpired~12 daysRan full term
6AF4D531D0524898429B100% offMay 13, 202607:13 AM UTCExpired~31 daysRan full term
0F717874244DEBAC88F5100% offApr 28, 202608:25 AM UTCExpired~5 daysRan full term

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Coupon
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Comidoc Analysis

Agentic Automation and Workflow Orchestration

Strengths

Broad Automation Scope

Instruction covers building agents using automation platforms like Make and n8n, including API calls and webhooks.

Framework-Based Prompting

The curriculum includes specific structural frameworks such as RACE, ReAct, and Tree of Thought.

Limitations

Instructional Delivery Inconsistencies

One signal from a review created before the displayed update suggests varying audio volumes and inaccurate subtitles that can hinder comprehension during technical explanations; however, the update label does not prove these issues have been corrected.

Presentation Style

One uncertain signal from a pre-update review indicates that some lessons rely on reading text from slides, which may reduce engagement compared to more conversational instruction.

Best suited to

  • Learners focused on automating business workflows
  • Users of Make or n8n automation platforms
  • Individuals building multi-step AI agent architectures

Less suited to

  • Learners seeking highly polished video production
  • Those requiring precise subtitles for accessibility

Comidoc Score

6.2/10

Worth considering
Defined audience

Comidoc verdict

The learning path moves from foundational prompt engineering frameworks into complex agent orchestration using tools like Make, n8n, and Trinity. The curriculum provides a wide technical scope covering various LLMs and specialized media applications for voice and video.

Instructional clarity varies due to reported issues with audio volume consistency and subtitle accuracy. These signals originated in reviews created before the displayed update date; while the update label suggests recent changes, it does not confirm that these specific delivery concerns have been resolved.

This course is best suited for those looking to build practical automation systems and autonomous agents across different platforms.

Score breakdown

Curriculum depth
8.0

The curriculum covers diverse topics including prompting frameworks, memory, and orchestration via Trinity.

Applied learning
6.5

Includes practical applications for business functions and hands-on work with automation tools.

Clarity & experience
3.5

Signals indicate issues with audio volume, subtitle accuracy, and a presentation style that relies on reading slides. These signals originated in reviews created before the displayed update date; while the update label suggests recent changes, it does not confirm that these specific delivery concerns have been resolved.

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 of building agents and using various LLM ecosystems.

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