Building with OpenAI API

Packt via Coursera Specialization

Go to class Write review

Details

Go to class

Provider

Coursera Specialization
Pricing

Paid Course
Languages

English
Certificate

Certificate Available
Duration & workload

4 weeks, 10 hours a week

Found in

Overview

Coursera Flash Sale

40% Off Coursera Plus for 3 Months!

Grab it

This specialization features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the specialization. In this specialization, you'll learn to use GPT models and the OpenAI API to build AI-powered applications. Starting with prompt engineering in Python, you'll design effective prompts, mitigate hallucinations, and structure outputs with JSON mode. You'll explore GPT versions like GPT-3.5 and GPT-4, and apply advanced techniques such as emotion-driven prompts and exponential backoff strategies. As the specialization progresses, you'll integrate ChatGPT and OpenAI APIs into real-world Python applications. You'll learn to automate tasks, generate creative content, and build interactive tools. Topics include neural networks, tokenization, and applying AI in diverse use cases. In the final section, you’ll learn how to create serverless functions to manage ChatGPT prompts and responses. You’ll integrate these into platforms and develop deployable applications like CoverLetterCreator, StockPhotoPPT, and TravelPlan. By the end of the specialization, you’ll have the skills to build, test, and deploy AI-driven applications using the OpenAI API. This intermediate-level specialization is perfect for developers looking to apply AI in practical scenarios. While some knowledge of Python is recommended, no prior AI experience is needed.

Syllabus

Course 1: Prompt Engineering in Python, with GPT, and the OpenAI API
Course 2: Master ChatGPT & OpenAI APIs – Build AI Tools in Python
Course 3: Make Apps with ChatGPT and Generative AI

Courses

0 reviews
9 hours 26 minutes
View details

Updated in May 2025. This course now features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. ChatGPT is a language generation model developed by OpenAI, with its latest version, Davinci, powering the ChatGPT program. This course aims to teach how to build applications and solutions using ChatGPT by understanding OpenAI and ChatGPT APIs. Students will learn to create serverless functions that handle ChatGPT prompts and responses, integrating these into various platforms. The course covers connecting to the OpenAI API, creating Azure functions, and developing applications such as CoverLetterCreator, StockPhotoPPT, PolitelySayNo, and TravelPlan. By the end, learners will be able to increase productivity and build real-life applications using ChatGPT and other OpenAI models like DALL-E. They will integrate the API into platforms like Outlook, Power Apps, Power Automate, Airtable, and Bubble. The course is ideal for managers, employees, and individuals looking to improve team efficiency or monetize applications using ChatGPT. Learners will integrate ChatGPT into business tools, create no-code apps, plan itineraries, generate cover letters, and produce stock photos for presentations.
0 reviews
4 hours 58 minutes
View details

Updated in May 2025. This course now features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. Master the art of prompt engineering in Python and unlock the full potential of GPT models and the OpenAI API. This course will teach you how to create, improve, and fine-tune prompts for various tasks, from personal coaching to building chatbots. You'll gain hands-on experience in iterative prompt design, mitigating hallucinations, and extracting structured information with JSON mode. The course begins with an introduction to prompt engineering fundamentals and explores how GPT models work in practical scenarios. You'll learn to set up your OpenAI API key, implement chain-of-thought prompting, and compare model versions like GPT-3.5 and GPT-4. Through real-world examples, you’ll also tackle advanced topics such as emotion-driven prompts and exponential backoff strategies. In later modules, you'll build your own Python API chatbot, enhance multi-turn conversations, and use GPT for extracting numerical values and image-based input. Techniques like "prompt hacking" and smart prompting will teach you how to maximize GPT’s performance, even with older models. This course is ideal for developers, data enthusiasts, and AI professionals seeking to master prompt engineering. Basic Python knowledge is required, and the course is designed for an intermediate difficulty level.
0 reviews
16 hours 39 minutes
View details

Updated in May 2025. This course now features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. Unlock the full potential of ChatGPT and OpenAI APIs with this hands-on course! You'll learn to integrate AI into real-world applications, automate tasks, generate creative content, and build AI-powered tools using Python. From fundamental concepts to advanced techniques, this course takes you through AI communication, prompt engineering, and OpenAI API interactions. Your journey begins with an introduction to ChatGPT, covering its history, capabilities, and practical use cases. You'll dive deep into how ChatGPT works, exploring its neural networks, tokenization, and language models. As you progress, you'll apply your knowledge by creating engaging content, generating images with Midjourney, and coding applications with OpenAI’s API. The course also covers mastering prompt engineering for both text and image generation, ensuring you craft high-quality AI interactions. You’ll build real-world AI projects like recommendation engines, cover letter generators, and virtual realtor apps using OpenAI’s API. Finally, you'll explore the LangChain framework to enhance AI-powered applications. Ideal for developers, data scientists, and AI enthusiasts, this course requires basic programming knowledge (Python preferred) but welcomes those eager to learn. Whether you want to boost productivity, automate workflows, or create AI-driven apps, this course will equip you with essential AI skills.