Spécialisation Building Smarter Software: GenAI Tools and Practices

"Hey Siri, what's the weather today?" "Alexa, play my favorite playlist." AI is becoming as common as your morning coffee. Look at what's happening in the real world: Duolingo has transformed how millions learn languages by adding their ChatGPT-powered AI tutor that gives personalized explanations in seconds. Even Snapchat's chatbot "My AI" is having millions of conversations with users every day. The world of AI isn't some far-off sci-fi dream – it's happening right now, and developers like you are at the heart of it. Ready to build something awesome with AI?

This course is unique because it doesn’t just stop at theory. You’ll gain hands-on experience in real-world API tasks, enabling you to build practical applications while learning to balance performance, cost, and API optimization effectively. By completing this course, you'll be able to seamlessly integrate ChatGPT API into your projects, quickly authenticate and configure parameters, analyze responses for improvements, and create practical AI-powered solutions that you can apply the very next day at work. By the end of this 2-hour course, you will be able to: - Explain the fundamental concepts of tokens, models, and rate limits in the context of the ChatGPT API. - Construct basic API calls to ChatGPT using proper authentication and parameters to generate appropriate AI responses for simple use cases. -Differentiate between various ChatGPT API use cases to select the most suitable model and parameters for specific application requirements. -Design effective prompts that optimize ChatGPT API responses for common use cases like content generation and text analysis. To be successful in this course, you should have: -Python installed on your computer. Familiarity with Python is recommended but not mandatory. -A free subscription to the OpenAI API. -A background in basic programming concepts and experience working with APIs. And to help you master these concepts, each lesson includes a practice quiz. You will also have a hands-on coding exercise to reinforce your learning and a final graded assessment that tests your ability to apply these skills in real-world scenarios. Want to get the most out of this course? Here's your blueprint for success: -Code along with the lessons—don't just watch. -Test your API calls with different parameters. -Keep track of your API usage and costs. -Document your error messages and solutions. -Complete all practice exercises before moving to the next lesson. Remember, this isn't just about passing a quiz—it's about building real-world skills you can use immediately. Take your time with the exercises, experiment with different approaches, and don't hesitate to revisit lessons when needed.

Have you ever wondered how AI can revolutionize your coding workflow? This short course is designed for intermediate developers aiming to master GitLab Duo's AI pair programming capabilities. It will equip you with the skills to effectively use this AI-powered tool to boost coding quality, efficiency and productivity.

By the end of this course, you will be able to: • recognize the esential features and uses of GitLab Duo AI-pair programming for enhanced productivity and code quality; • set up and configure GitLab Duo for AI-pair programming and seamless integration with your own coding processes; • apply best practices for using GitLab Duo and its Code Suggestions feature, for optimized coding workflows; and • apply GitLab Duo's Code Suggestions in practical coding scenarios to optimize your project efficiency. This course combines practical demonstrations with actionable insights, enabling learners to integrate GitLab Duo seamlessly into their development process. Learners should have a basic understanding of GitAI, since the course includes practical examples in Python, functional knowledge of this programming language would be helpful.