About
This AI course equips students with the skills to master **Large Language Models (LLMs)**, **OpenAI API**, **multimodal agents**, and AI system deployment. Students will learn the architecture and capabilities of LLMs, use the OpenAI API to build applications like chatbots and content generators, and fine-tune models for specific tasks. A key focus is on **multimodal AI systems**, integrating text, images, and audio to create versatile solutions, such as AI assistants that process voice, analyze images, and generate text. The course also covers deploying AI systems using tools like Docker, Kubernetes, and cloud platforms (AWS, GCP), enabling students to scale and optimize models for real-world use. Through hands-on projects, students will tackle real-world challenges, building tools like customer support chatbots or healthcare diagnostics systems. Ethical AI development is emphasized, with lessons on fairness, transparency, bias, and societal impacts, ensuring students build responsible AI solutions. By the end of the course, students will have a portfolio showcasing their skills in AI and multimodal systems, preparing them for careers in AI development, research, or entrepreneurship. They will also learn to communicate technical concepts effectively and gain insights into the AI job market, empowering them to innovate responsibly and contribute to the future of AI.
You can also join this program via the mobile app. Go to the app