What Are the Learning Objectives of the Generative AI for Software Developers Training?
Introduction and Applications of Generative AI: Understand the fundamentals of generative AI and explore its diverse applications in software development. Discover how AI models learn and generate new content.
Prompt Engineering Principles: Grasp the core principles and techniques of crafting effective prompts to interact with AI models successfully. Learn how to formulate clear and specific instructions.
Crafting Effective Prompts: Learn to design precise and clear prompts to elicit desired responses from generative AI models. Experiment with different prompt structures and styles.
Advanced Parameter Tuning for Prompts: Master advanced techniques to fine-tune prompts and optimize AI model outputs for specific tasks. Control output length, creativity, and more.
Programming with ChatGPT: Utilize ChatGPT’s capabilities for code generation, refactoring, and problem-solving assistance. Explore different programming languages and frameworks.
ChatGPT for Code debugging and Documentation: Employ ChatGPT to identify and rectify code errors and generate clear, comprehensive documentation. Learn best practices for interacting with the model.
Software Testing using ChatGPT: Leverage ChatGPT’s potential to automate test case generation and enhance software testing efficiency. Discover techniques to generate diverse test scenarios.
Programming with GitHub Copilot: Harness GitHub Copilot’s AI-powered code suggestions for faster, more efficient development. Gain hands-on experience with real-world coding scenarios.
Software Testing using GitHub Copilot: Explore how Copilot can assist in generating test cases and improving overall testing quality. Apply Copilot’s capabilities to different testing frameworks.
