- 25 Jun at 4:34 pm
- Video Tutorial
- Prompt Engineering: Build AI Apps with OpenAI, Prompt Engineering: Build AI Apps with OpenAI Download, Prompt Engineering: Build AI Apps with OpenAI Free, Prompt Engineering: Build AI Apps with OpenAI Free Download, Scott Barrett, Udemy - Prompt Engineering: Build AI Apps with OpenAI, Udemy - Prompt Engineering: Build AI Apps with OpenAI Download, Udemy - Prompt Engineering: Build AI Apps with OpenAI free, Udemy - Prompt Engineering: Build AI Apps with OpenAI
Description
Prompt Engineering: Build AI Apps with OpenAI is a course on building intelligent applications based on OpenAI models through effective rapid engineering and AI integration techniques published by Udemy Online Academy. Students will learn how to design prompts that generate reliable, accurate, and context-aware responses while building real-world AI applications for automation, content generation, data analytics, customer support, and productivity. The course covers the principles of rapid design, OpenAI API integration, structured outputs, function calls, context management, application architecture, and best practices for developing AI-based solutions.
This course is for developers who are ready to move from experimenting with AI to actually building it. You will work directly with OpenAI’s modern Responses API—which OpenAI recommends for all new projects—writing real code that connects to real tools and produces real results. This course is recommended for Python developers who want to build real-world applications using the OpenAI API, engineers who are adding AI capabilities to existing products or workflows, and technical managers who are evaluating how to integrate AI into their team’s projects.
What you will learn in Prompt Engineering: Build AI Apps with OpenAI:
- Build JSON structured outputs that return reliable, parseable results every time
- Skillfully handle API errors using exponential backoff and rate-limiting strategies
- Design reusable notification templates with roles, directives, examples, and output template controls
- Track token usage and costs in real-time using tiktoken and the API usage object
- Implement response caching and context window strategies for production applications
- Connect AI to external tools and databases using a complete function call workflow
- Build three real-world AI applications – a research assistant, a production support bot, and a multi-tool agent
- And…
Course specifications
- Publisher : Udemy
- Instructors: Scott Barrett
- Language: English
- Level: Introductory to Advanced
- Number of Lessons: 26
- Duration: 5 hours and 51 minutes
Course topics
Prompt Engineering: Build AI Apps with OpenAI Prerequisites
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Basic Python familiarity: classes, functions, loops, and importing libraries
No prior Jupyter Notebook experience required — setup and usage are covered in Module 1
No machine learning or AI background required
Pictures
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File size: 3.1 GB
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