Prompt Engineering and API Integration via OpenAI
Strengths
Applied API and Tooling Integration
Instruction moves from basic chat interactions to technical implementations involving the OpenAI API, embeddings, and LangChain integration.

Build Real-World AI Skills with ChatGPT, OpenAI, and Generative AI Tools
Instructorin28Minutes OfficialComidoc has tracked 2 coupons for this course since 2025, last checked 19d ago.
| Coupon code | Discount | Added | Status | Lifetime |
|---|---|---|---|---|
| AUG2026 | 13% off | Expired | 12d 14h | |
| SEP2025 | 35% off | Expired | 10d 20h |
Instruction moves from basic chat interactions to technical implementations involving the OpenAI API, embeddings, and LangChain integration.
Editorial course preview
This view highlights a concrete, legible example from the course presentation.
This slide details the Advanced Data Analysis feature of ChatGPT, highlighting its use of Python to generate visualizations like population and area bar charts.




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The curriculum covers specific prompt design techniques including Zero Shot, One Shot, and Many Shot, alongside structured frameworks like RTF and RASCEF.
Learning is supported by downloadable Python notebooks and recurring section quizzes to validate progress.
Learner signals suggest that some OpenAI Playground screens may not align with current interfaces, and the content may reflect older model versions.
The focus remains heavily on tool usage and API implementation rather than the underlying mechanics of AI models, which may feel too basic for some.
Rapid tool adoption through hands-on API and LangChain exercises comes at the expense of long-term technical currency.