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The Smart Coder: Building Apps with AI Agents
Course Outline Course SynopsisThe Smart Coder: Building Apps with AI Agents is a beginner-friendly course that teaches how to create applications using Generative AI tools. Students will learn how to turn ideas into real apps by giving instructions (prompts) to AI, designing interfaces, and building projects without deep coding knowledge. This course focuses on practical learning and real-world application development using AI. Required ResourcesGoogle AI StudioFigma MakeGoogle StitchCLI AI tools (Gemini CLI, Claude Code, etc.)Instructor-provided materials Completion CriteriaMinimum 90% attendanceCompletion of assignments and activitiesSuccessful final project (capstone) PrerequisitesNo prior programming knowledge requiredBasic computer skillsWillingness to practice and learn AI toolsCommitment to spend time on self-learning
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VIDEO EDITING ESSENTIALS
This course provides a comprehensive introduction to the fundamental concepts and techniques of video editing. It is designed for beginners and those looking to enhance their video editing skills for personal or professional use. Through hands-on practice and guided tutorials, participants will learn to use popular video editing software, understand the basics of video production, and develop the skills necessary to create polished and engaging videos.
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Workshop on Master LLMs: Build, Train and Deploy AI-Powered Chatbots
Welcome to our course on building AI-powered chatbots using Large Language Models (LLMs)! In today's digital landscape, chatbots are transforming how businesses interact with customers, providing instant support and enriching user experiences. This course is designed to equip you with the practical skills and hands-on experience needed to create intelligent chatbots that can adapt to various real-world scenarios.By the end of this course, you will be able to:• Understand the fundamentals of chatbots and Large Language Models (LLMs).• Collect, preprocess, and clean conversational data for chatbot training.• Fine-tune LLMs (e.g., GPT-2/3) to build AI-powered chatbots.• Implement intent recognition and entity extraction to build intelligent chatbots.• Develop multi-turn conversational bots that remember user interactions.• Integrate rule-based and AI-generated responses.• Test, evaluate, and deploy chatbots using free tools like Flask/FastAPI, Streamlit,and Heroku.• Build a fully functional chatbot for real-world applications, such as customerservice or virtual assistants.
