Prompt Engineering With Python & Openai (chatgpt) Api
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.23 GB
Build Production AI Apps With Python - Master Prompting, Function Calling, Error Handling With 25+ Hands-On Notebooks
What you'll learn
Connect Python to OpenAI's ChatGPT API and generate structured outputs
Write Python functions that integrate multiple live APIs (NewsAPI, Google Trends, Federal Reserve data)
Parse and analyze JSON responses to extract meaningful insights
Automate news sentiment classification using AI-powered text analysis
Visualize sentiment and trend data with simple Python charts and dashboards
Combine multiple data sources into a unified scoring framework for company or industry analysis
Apply error handling and rate limiting to create reliable API workflows
Adapt the same pipeline patterns to competitor tracking, brand monitoring, and regulatory intelligence projects
Requirements
Basic Python familiarity: classes, functions, loops, and importing libraries
Ability to read simple JSON data and error messages
No prior Jupyter Notebook experience (setup and usage explained in the course)
No advanced math, finance, or machine learning background needed
Description
This course is for Python developers who want to build real AI applications using the OpenAI API - not just use ChatGPT in a browser.You'll work directly with OpenAI's modern Responses API - the one OpenAI recommends for new projects - through 25+ hands-on Jupyter notebooks with working code you can run and reuse immediately.Prerequisites: Basic Python familiarity - classes, functions, loops, and importing packages. Environment setup is covered in Module 1.What You'll LearnAPI Fundamentals Connect to the OpenAI API, configure your environment, and make your first calls using the Responses API. Understand model selection, token usage, and cost tracking from day one.Prompting Techniques Master zero-shot, one-shot, and few-shot prompting. Build structured JSON outputs for reliable parsing, design role-based personas, create reusable prompt templates, and evaluate prompt quality systematically.Production Patterns Handle API errors with exponential backoff, manage rate limits, track token usage and costs with tiktoken, cache responses to eliminate redundant API calls, and manage context windows for long conversations.Function Calling Connect the AI to external tools and APIs using OpenAI's function calling workflow. Build assistants that look up live data, query real databases, and take actions in the world.Capstone ProjectsYou'll build three capstone projects that combine everything you've learned into real, deployable applications.Research Assistant - Decomposes complex questions into sub-questions, investigates each one independently, and synthesizes the findings into a structured answer.Production Support Bot - A fully functional support chatbot with budget controls, sliding window context management, and response caching. Built across two modules to show how production systems are assembled incrementally.Multi-Tool Agent - Connects to a live weather API and queries a real SQLite database using function calling. Demonstrates how AI can interact with the outside world through Python functions.What You'll Walk Away With25+ tested Jupyter notebooks, reusable helper functions, and production-ready patterns you can drop into your own projects immediately.Who This Course Is ForEngineers adding AI features to existing applications, analysts automating workflows with Python, and technical leads planning AI integration for their teams.Who This Course Is Not ForComplete beginners to Python. If you're new to Python, build a foundation first and come back - you'll get much more out of this course.OpenAI requires a $5 minimum to fund your API account. That will be more than enough to complete all course exercises using gpt-5-mini, the default model used throughout the course.Designed for developers ready to move beyond experimentation and start building production AI applications with Python and the OpenAI API.
Analysts, consultants, and business professionals who want to apply AI to real-world data projects,Beginners in AI who know basic Python and want hands-on experience with ChatGPT and live APIs,Students or career changers looking to add practical, project-based AI skills to their portfolio,Anyone curious about how to combine Python, APIs, and AI interpretation to turn raw data into insights
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