路 AI Fundamentals: Start with the basics of Artificial Intelligence, diving into its core principles and real-world applications.
路 AI vs. Generative AI vs. Chatbots: Uncover the distinctions between these exciting technologies and their unique uses.
路 Practical Use Cases: Discover how AI is revolutionizing sectors like healthcare, finance, and more.
路 Open-Source Tools: Evaluate and compare tools like ChatGPT, Midjourney, and OpenAI, and learn how they enhance professional tasks.
路 Mathematical Computing: Get comfortable with SciPy and NumPy for data analysis and AI modeling.
路 Natural Language Processing (NLP): Understand the generation of NLP and its practical applications.
Course Content Highlights:
路 Definition and scope of AI
路 The roles of NumPy and SciPy in AI development
路 Industry use cases showcasing AI's impact
路 NLP fundamentals and models
路 Advantages and limitations of open-source AI tools