Learn Google's Gemini and Anthropic's Claude API with Python

This hands-on Python development course, led by seasoned instructor Andrei Dumitrescu, offers an in-depth exploration of integrating cutting-edge LLMs into functional web applications. Students dive deeply into Google's Gemini 1.5 and Anthropic's Claude 3 APIs, discovering how to manipulate core generation parameters such as temperature, top_k, top_p, and stop sequences to control model output with precision. Moving beyond theoretical concepts, the curriculum guides learners through practical tasks, including setting up Google AI Studio, managing API authentication, and constructing dynamic multi-modal prompts that handle both text and image inputs. A significant portion of the course focuses on tangible application development, teaching students how to design custom chat conversational agents and deploy interactive, web-based interfaces using Streamlit. From managing session states and callbacks in Streamlit to leveraging Jupyter AI for streamlined workflows, this comprehensive masterclass equips developers with the practical skills required to build, test, and deploy production-ready AI applications in today's rapidly evolving technological landscape. Whether you are looking to master prompt-engineering techniques or engineer responsive front-ends for your intelligent systems, this guide provides a clear roadmap to utilizing modern generative AI APIs effectively.