Target Audience: Teens (beginners, no prior AI knowledge required).
Communicate effectively with AI using Prompt Engineering
Design effective System Prompts
Build AI chatbots with personalities
Secure API keys and credentials
Build Retrieval-Augmented Generation (RAG) systems
Work with AI memory using vector databases
Build multimodal AI applications
Build multi-agent AI systems
Debug AI applications effectively
Approach: Fun, interactive and beginner-friendly and real-world examples.
Hands-On Learning: Neural networks explained through visual models. Real-life use cases like face recognition, object detection, and self-driving cars.
Apply Few-Shot Prompting techniques
Connect applications to AI APIs
Develop interactive AI web applications
Create document-based AI assistants
Generate AI images using DALL·E
Develop autonomous AI Agents
Deploy AI applications online
Practice responsible and ethical AI development
GenAI building is a beginner-friendly course designed to introduce young learners to the exciting world of AI. Through fun examples, real-world applications, and interactive projects, students explore the basics of human and artificial intelligence, computer vision, and neural networks. They will create projects that recognize objects, faces, and brands, helping them build an AI mindset while developing logical thinking and problem-solving skills. This course lays the foundation for understanding how smart machines work—and how to build your own.
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I'm Brian Akivaga, a dedicated STEM teacher, with basic training in Electronic Engineering and expertise in coding, My experience includes crafting engaging curricula and leading hands-on workshops that integrate electrical engineering and coding principles. I'm passionate about fostering inclusive learning environments and staying abreast of the latest trends in STEM education. I welcome you all to Soma Smart.
