Build With AI: Python Frameworks and Tools

About this course

AI is rapidly transforming how we approach everything, from learning to code to building apps to solving complex problems. Over the past three years, I have written AI-related articles, such as "The 6 Best LLM Tools To Run Models Locally," on Medium, and created several AI content on YouTube. Many people, including students and developers, have asked me how to start building AI apps, specifically in Python.

In this course, I will guide you in learning fundamental AI concepts (Retrieval Augmented Generation, Fine-tuning, Embeddings, AI-native Vector Databases) to build AI apps, agents, and chat interfaces.

Join this course, and let's start building AI for video, vision, voice/speech, and more. You will discover and start creating AI agents using the best and easy-to-use Python frameworks, such as OpenAI Realtime, OpenAI Agents SDK, and Vision Agents. You will also learn to utilize APIs from OpenAI, Anthropic, Mistral, Meta AI, Kimi AI, Qwen, DeepSeek, and xAI for agentic app creation, as well as for image, video, audio/voice, and text generation. By following all the tutorials in this course, you will understand the various concepts in AI and how to implement them in actual AI-related projects. In addition, you will be familiar with many Python-based libraries and web frameworks for creating AI apps.

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