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