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AI & LLM Foundations

This course is designed to provide you with a comprehensive understanding of artificial intelligence and large language models (LLMs), starting with foundational concepts in AI, machine learning, and neural networks. You'll explore cutting-edge AI technologies, from no-code machine learning tools to the development of advanced LLMs. Through hands-on projects and real-world case studies, you'll gain practical experience and insights into AI applications across various industries.

Course Modules

  • Module 01: Introduction to AI & Neural Networks

    • Overview of robotics and the historical development of robots.

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  • Module 02: Decoding AI, ML, & DL

    • Learn about AI, machine learning (ML), deep learning (DL), and the key differences between supervised, unsupervised, and reinforcement learning.

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  • Module 03: Evaluating AI Models

    • Explore methods for evaluating AI and ML models, including confusion matrix, accuracy, error rate, precision, and recall.

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  • Module 04: Hands-On Projects with No-Code ML

    • Project 1: Utilizing advanced imaging techniques for medical diagnostics.

    • Project 2: Applying no-code machine learning tools for image-based classification.

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  • Module 05: Generative AI & LLM Fundamentals

    • Foundations of generative AI and an introduction to large language models (LLMs), including how they work.

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  • Module 06: LLM Development & Ecosystem

    • Understand how LLMs are developed and the differences between open-source and proprietary LLMs.

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  • Module 07: Case Study & Real-World Application

    • Build an LLM model for financial services in a real-world case study.

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  • Module 08: Final Assessment & Resources

    • ​Complete the course with a final assessment and gain access to project resources for AI and LLM projects.

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