CATCertified Foundation Exam Prep

About this course

Take your Artificial Intelligence skills to the next level by mastering CATCertified Foundation through hands-on, real-world projects. This comprehensive course is designed for beginners, software developers, IT professionals, students, and AI enthusiasts who want to build intelligent, autonomous AI applications using Python and the latest AI technologies.You'll begin by learning the fundamentals of Python programming, Large Language Models (LLMs), prompt engineering, embeddings, and Generative AI. As your knowledge grows, you'll explore Agentic AI concepts, including intelligent agents, planning, reasoning, memory, tool calling, workflow automation, and multi-agent collaboration. You'll understand how modern AI agents think, make decisions, retrieve information, and perform complex tasks autonomously.Throughout the course, you'll gain practical experience with industry-leading tools and frameworks, including OpenAI APIs, LangChain, LangGraph, CrewAI, AutoGen, Hugging Face, Ollama, Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), vector databases, FastAPI, Streamlit, Docker, Git, and cloud deployment. You'll learn how to integrate AI models with external APIs, databases, enterprise systems, and modern web applications to build scalable, production-ready AI solutions.This course focuses on project-based learning. You'll build a wide range of real-world applications, including AI chatbots, intelligent virtual assistants, document question-answering systems, AI-powered search applications, coding assistants, workflow automation tools, customer support bots, research assistants, content generation platforms, multi-agent systems, and end-to-end AI business applications. Each project is carefully designed to strengthen your practical development skills and help you build a professional portfolio.You'll also learn industry best practices for AI engineering, including prompt optimization, structured outputs, model evaluation, AI security, testing, deployment, monitoring,

Course objectives

• develop practical AI applications
• gain hands-on experience with industry tools
• build a professional portfolio of projects