Call us: 
ChatGPT for Developers
Course Description
This course enables developers to harness the capabilities of ChatGPT and AI APIs for real-world software development. Participants will build, automate, and optimize applications using modern AI techniques, enhancing their technical expertise in API integration, fine-tuning, and AI safety.
Course Outcomes:
-
Understand ChatGPT APIs and integrate them into software projects
-
Automate code, data, and workflows using AI models.
-
Fine-tune and customize models for specific use cases.
-
Build real-world projects showcasing AI-powered development.
-
Apply ethical and safe AI practices in production environments
Course Curriculum
This course enables developers to harness the capabilities of ChatGPT and AI APIs for real-world software development. Participants will build, automate, and optimize applications using modern AI techniques, enhancing their technical expertise in API integration, fine-tuning, and AI safety.
- Understanding the ChatGPT ecosystem
- API basics: endpoints, authentication, and tokens
- Setting up the developer environment (Python / Node.js)
- Quickstart: Build your first AI-powered app
- Using Python and Node.js libraries for OpenAI
- Exploring GPT, Claude, Gemini, and local LLMs
- Community-supported tools and SDKs
- Version management and compatibility tips
- Designing effective prompts for text generation
- Use cases: summarization, classification, and translation
- Handling context, memory, and conversation flow
- Troubleshooting and refining outputs
- Mini Project: AI Text Assistant
- Using ChatGPT for code generation and debugging
- Automating SQL queries, API calls, and scripts
- Code transformation and documentation generation
- Project: AI Coding Assistant in VS Code
- Generating visuals using DALL·E and other APIs
- Editing, enhancing, and creating image variations
- Integrating with web apps using TypeScript
- Lab: Build a Web-based Image Generator
- Preparing datasets for fine-tuning
- Using CLI tools and managing fine-tuned models
- Integrating custom models into real apps
- Project: Custom Chatbot for a College Project
- Understanding embeddings and similarity search
- Building a question-answering app with vector search
- Use cases in chatbots, recommendation engines, and NLP
- Lab: Document Search Bot using ChatGPT Embeddings
- Implementing content moderation APIs
- Understanding ethical AI development
- Bias handling and responsible AI usage
- Project: Safe Chat Application
- Model optimization and performance tuning
- Production-ready architecture for AI systems
- API rate limits, logging, and monitoring
- Continuous improvement and updates
- Overview of GitHub Copilot
- Integrating AI assistance into code editors
- Productivity tips for real-world developers
- Final Project: AI-Enhanced Developer Toolkit
Level
Duration
Lessons
Quizzes
Certifications