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Ready for an interactive learning experience to develop applications and chatbots for diverse use cases using generative AI?This course provides an opportunity to work on guided projects that provide step-by-step instructions to build generative AI-powered applications. You'll utilize Python, along with related libraries like Flask and Gradio, and frameworks such as Langchain.In the course, you will work on hands-on projects to build chatbots and apps by utilizing popular large language models (LLMs) such as GPT-3 and Llama 2, hosted on platforms such as IBM watsonx and Hugging Face. Additionally, you'll explore retrieval-augmented generation (RAG) technology, enhancing LLMs by incorporating external information beyond their training data. This course also equips you to build voice-enabled chatbots and apps using IBM Watson® Speech Libraries for Embed. To develop these projects, you'll be using Python, making it essential to have a basic understanding of the language. While knowing some HTML, CSS, and JavaScript can be beneficial, it's not a requirement. What you'll learn — Discuss how to generate code snippets, scripts, and programs using generative AI models — Apply techniques for application design and architecture, bug detection, code refactoring, and program optimization using generative AI — Develop innovative solutions using Gen AI-powered tools and models such as ChatGPT, GitHub CoPilot, Google Gemini, and IBM watsonx Code Assistant — Explain challenges and ethical considerations associated with using Generative AI for programming and options for mitigating them Skills you'll gain —Software Engineering —Software Development —Code generation —AI prompts —Generative AI This course is part of multiple programs. IN PARTNERSHIP WITH —>IBM 100% ONLINE COURSE — Start instantly and learn at your own pace. FLEXIBLE SCHEDULE — Set and maintain flexible deadlines. COURSE LEVEL — Intermidiate