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OpenAI API (ChatGPT, Whisper, DALL-E) - Complete Course

Learn OpenAI API, including ChatGPT, DALL-E, Whisper, and create powerful Web apps with Slack, Jira, Gmail

  1. Topics
  2. Development
  3. OpenAI API Mastery

OpenAI API (ChatGPT, Whisper, DALL-E) - Complete Course

InstructorAndrii Piatakha
Duration28h 33m
Students12.8K
Rating4.5 (94)
Sponsored
Price
$14.99
Coupon
None
No active coupon currently available
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Open on UdemyCurrent Udemy price

Coupon history

Comidoc has tracked 27 coupons for this course since 2026, last checked 7d ago. On average, a new coupon appears roughly every 11 days.

Coupon codeDiscountAddedStatusLifetime
SEPTEMBERFREE32026100% offOct 3, 202602:03 PM UTCFully redeemed14d 12h
SEPTEMBERFREE22026100% offSep 24, 202601:02 AM UTCExpired30d 23h
SEPTEMBERFREE2026100% offSep 14, 202609:01 PM UTCExpired30d 23h
AUGUSTFREE32026100% offAug 30, 202603:00 PM UTCExpired30d 23h
AUGUSTFREE22026100% offAug 25, 202607:00 AM UTCExpired30d 23h
AUGUSTFREE2026100% offAug 18, 202604:30 PM UTCExpired30d 23h
Comidoc Analysis

AI Integration via Spring Boot and Third-Party APIs

Strengths

Multi-Service Integration

The curriculum moves beyond simple prompting by connecting GPT models to Slack webhooks and Jira Cloud APIs for automated workflows.

Specialized AI Security Modules

Instruction includes depth in the GenAI threat landscape, covering AI-SDLC and threat modeling for agentic systems.

Model Fine-tuning Workflow

Provides a structured approach to preparing training datasets and creating custom fine-tuned models.

Editorial course preview

What the public course preview actually shows

These 3 complementary views highlight concrete, legible examples from the course presentation.

Preview 1 of 3

This slide outlines upcoming curriculum modules, specifically listing fine-tuning existing models, no-code development with ChatGPT, content creation, and business case applications.

Preview 2 of 3

This slide outlines the target audience for the course, identifying key roles such as developers, software engineers, product managers, and project delivery managers.

Preview 3 of 3

This slide introduces OpenAI's Whisper as an automatic speech recognition system trained on 680,000 hours of diverse data to handle accents and noise.

Selected from the course's public promotional preview. These images document visible presentation material only; they do not represent the complete paid curriculum.

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Coupon
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Limitations

Language Specificity

The primary project and code examples are built using Java Spring Boot, despite the API being language-agnostic.

Uncertain Content Quality Signal

One review created before the most recent update suggests the content may consist of AI-generated copy-pasted material; however, the update label does not prove a correction of this issue.

Best suited to

  • Java developers building AI-integrated web applications
  • Product managers exploring technical AI limitations
  • Engineers interested in AI cybersecurity and threat modeling

Less suited to

  • Learners seeking a purely Python-based development path
  • Those looking for high-level chat application tutorials

Comidoc Score

5.9/10

Worth considering
Defined audience

Comidoc verdict

The curriculum focuses on integrating OpenAI models into professional ecosystems by connecting ChatGPT, Whisper, and DALL-E with tools like Slack and Jira for functional automation.

Technical depth is provided through fine-tuning workflows and AI cybersecurity modules. However, the primary development examples utilize Java Spring Boot, which may necessitate a shift for those accustomed to Python-heavy AI environments. One diagnostic signal from a previous update period raises questions about content originality, though this cannot be confirmed as a widespread issue.

This course is best suited for developers or technical product managers who want to build automated project management tools and understand the security implications of agentic AI systems.

Score breakdown

Curriculum depth
6.5

The curriculum covers specialized topics such as fine-tuning and AI cybersecurity/threat modeling.

Applied learning
6.5

Includes multiple hands-on items including Python labs and a multi-service integration project.

Clarity & experience
5.0

One pre-update review suggests potential issues with content originality, though the update label does not prove a correction.

Currency & reliability
5.0

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

Audience fit
5.8

The curriculum aligns with the target audience of developers and product managers through its focus on API-driven automation and testing basics.

More Related Topics

  • ChatGPT Integration143
  • DALL-E Prompt & Creation45
  • AI Voice & Speech Synthesis73
  • App Integration59
  • OpenAI API Development115
  • LangChain for LLMs211
  • LLM & AI Assistant Apps45
  • Anthropic Claude Models50
  • Natural Language Processing377
  • Custom GPTs & Personalization79