Gen AI for Software Development: Code Generation for Python

This course introduces diffusion models, a family of machine learning models that recently showed promise in the image generation space. Diffusion models draw inspiration from physics, specifically thermodynamics. Within the last few years, diffusion models became popular in both research and industry. Diffusion models underpin many state-of-the-art image generation models and tools on Google Cloud. This course introduces you to the theory behind diffusion models and how to train and deploy them on Vertex AI. Complete this activity and earn a badge! Boost your cloud career by showing the world the skills you’ve developed. This course introduces diffusion models, a family of machine learning models that recently showed promise in the image generation space. Diffusion models underpin many state-of-the-art image generation models and tools on Google Cloud. This course introduces you to the theory behind diffusion models and how to train and deploy them on Vertex AI.

The course is a three-day comprehensive program designed to introduce software developers to the world of cutting edge AI systems and AI-enhanced development. The program is designed to equip AI enthusiasts with an in-depth understanding of AI assistants, their functionalities, and their transformative potential in optimizing workflows and business processes. Participants will gain a thorough understanding of the AI landscape, delve into the intricacies of prompt engineering, and explore practical AI applications through hands-on exercises and real-world case studies. The course further explores advanced prompt engineering and a tour of the Copilot ecosystem. Participants will engage in hands-on exercises that demonstrate AI's potential in enhancing ideation, proof-of-concept creation, coding, software robustness, and debugging. It also provides an introduction of training a neural network with exercises, and a comparative study of different Large Language Models (LLMs), equipping participants with the knowledge to choose the most suitable model for their needs. Incorporating LLMs into an application forms a significant part of the learning, along with an overview of AI security. It ensures that developers understand the AI threat landscape and are equipped with strategies to mitigate potential risks, making this course a comprehensive guide to integrating AI into both the product and the processes.

✓ Job-ready AI skills in just 6 months, plus practical experience and an industry-recognized certification employers are actively looking for ✓ The fundamental concepts, key terms, building blocks, and applications of AI, encompassing generative AI ✓ How to build generative AI-powered apps and chatbots using various programming frameworks and AI technologies ✓ How to use Python and Flask to develop and deploy AI applications on the web