Accelerate your AI career with a fully integrated learning path designed to take you from foundational AI development to advanced agent-based systems. This first phase begins with building full-stack AI applications, guiding you through practical projects like chat assistants, content generators, & smart tools using powerful models such as LLaMA, CodeLlama, & Qwen. You'll master Python environments, model deployment with Ollama, & essential workflows for creating production-ready tools. As you gain confidence, the learning journey expands to focus on intelligent AI agents—self-contained systems capable of interaction, memory, & task automation. This second phase dives deeper into applied AI with voice assistants, document readers, Q&A bots, & data scrapers, showcasing how modern agents can operate across interfaces & real-time data environments. You’ll not only build these systems but also understand the architecture & logic that drive them, equipping you with skills applicable to cutting-edge AI solutions. By combining these two powerful tracks into one cohesive experience, the course ensures you develop both breadth & depth in AI development. From building individual AI tools to architecting multi-layered agent systems, you’ll walk away with the capabilities to construct, deploy, & scale intelligent applications from scratch.