AI Learning Sources from Multiple Well-Known Platforms

A curated list of AI learning resources from trusted platforms! Most are FREE or available at a LOW COST.

Table of Contents

• 1. NVIDIA Deep Learning Institute (DLI)
  • 1.1 Generative AI Explained
  • 1.2 Sizing LLM Inference Systems
  • 1.3 Building RAG Agents with LLMs
  • 1.4 Augment Your LLM Using Retrieval Augmented Generation (RAG)
• 2. Google AI Courses
  • 2.1 Introduction to Large Language Models
  • 2.2 Introduction to Responsible AI
  • 2.3 Introduction to Image Generation
  • 2.4 Create Image Captioning Models
  • 2.5 Introduction to Generative AI Studio
  • 2.6 Google AI Essentials
• 3. Microsoft AI Courses
  • 3.1 Azure AI Fundamentals
  • 3.2 Introduction to Machine Learning
  • 3.3 Artificial Intelligence for Beginners
• 4. Harvard University AI Courses
  • 4.1 Data Science: Machine Learning
  • 4.2 CS50's Computer Science for Business Professionals
  • 4.3 Introduction to Data Science with Python
  • 4.4 CS50's Understanding Technology
  • 4.5 CS50's Introduction to Programming with Python
  • 4.6 CS50's Web Programming with Python and JavaScript
  • 4.7 CS50's Introduction to Artificial Intelligence with Python
  • 4.8 Machine Learning and AI with Python
  • 4.9 Data Science: Machine Learning (April 2025)
  • 4.10 Artificial Intelligence in Business: Creating Value with Machine Learning
• 5. AI for Everyone by Andrew Ng
  • 5.1 AI for Everyone

1. NVIDIA Deep Learning Institute (DLI)

• Description: Offers hands-on courses covering Generative AI, LLMs, deep learning, and more. Great for beginners and advanced learners.
• Highlights: Free introductory courses; advanced courses at low cost.

Course Offerings

• 1.1 Generative AI Explained

  Learn the fundamentals of Generative AI, including its applications, challenges, and opportunities, in this no-coding introductory course.

  Course Outline:

  • Define Generative AI and explain how it works
  • Describe various applications of Generative AI
  • Discuss the challenges and opportunities in the field

• 1.2 Sizing LLM Inference Systems

  Gain insights into assessing and sizing systems for LLM inference deployment.

  Course Outline:

  • Introduction to NVIDIA NIM Microservices and model deployment
  • Analyzing throughput and latency trade-offs in LLM inference
  • Understanding tensor parallelism and in-flight batching
  • Benchmarking models and selecting hyperparameters for distributed deployment
  • Sizing infrastructure based on workloads and constraints

• 1.3 Building RAG Agents with LLMs

  Learn to deploy agent systems using large language models (LLMs) for powerful retrieval and tool integration, with scalable design to meet user demands.

  Course Outline:

  • Introduction and environment setup
  • Exploration of LLM inference interfaces and microservices
  • Designing LLM pipelines using LangChain, Gradio, and LangServe
  • Managing dialog states and integrating knowledge extraction
  • Working with long-form documents
  • Using embeddings for semantic similarity and guardrailing
  • Implementing vector stores for efficient document retrieval
  • Evaluation, assessment, and certification

• 1.4 Augment Your LLM Using Retrieval Augmented Generation (RAG)

  This course offers a high-level overview of Retrieval Augmented Generation and how it enhances Generative AI.

  Course Outline:

  • Overview of Retrieval-Augmented Generation (RAG)
  • The RAG ingestion and retrieval processes
  • NVIDIA’s Canonical RAG model on NV AI Foundations
  • Summary of key learnings

2. Google AI Courses

Google offers a range of AI courses tailored for beginners and professionals alike. Learn about large language models, responsible AI, image generation, and more.

Course Offerings

• 2.1 Introduction to Large Language Models

  Understand the core concepts behind large language models, their applications, and potential.

• 2.2 Introduction to Responsible AI

  Explore the ethical principles and considerations in designing and deploying AI responsibly.

• 2.3 Introduction to Image Generation

  Dive into the basics of image generation using AI and discover its creative applications.

• 2.4 Create Image Captioning Models

  Learn how to build AI models that generate captions for images, enhancing accessibility and context understanding.

• 2.5 Introduction to Generative AI Studio

  Explore Google's Generative AI Studio and learn to create innovative AI-driven solutions.

• 2.6 Google AI Essentials

  A comprehensive overview of AI concepts, tools, and practical applications.

3. Microsoft AI Courses

Microsoft provides foundational courses on AI, machine learning, and related technologies, making advanced AI education accessible.

Course Offerings

• 3.1 AI Fundamentals

  Get started with AI basics, focusing on Microsoft Azure's AI services and tools.

• 3.2 Introduction to Machine Learning

  Learn the core concepts and workflows of machine learning and how to apply them using Azure.

• 3.3 Artificial Intelligence for Beginners

  A beginner-friendly introduction to AI concepts, frameworks, and their applications.

4. Harvard University AI Courses

Harvard University provides high-quality, free online courses in AI and related fields. These courses cater to learners at all levels, offering foundational knowledge and advanced insights.

Course Offerings

• 4.1 Data Science: Machine Learning

  Learn the fundamentals of machine learning, including algorithms, data analysis, and real-world applications.

• 4.2 CS50's Computer Science for Business Professionals

  Designed for business professionals, this course covers essential computer science concepts and their business implications.

• 4.3 Introduction to Data Science with Python

  Master data science techniques and tools using Python in this introductory course.

• 4.4 CS50's Understanding Technology

  Aimed at beginners, this course demystifies technology and its applications in everyday life.

• 4.5 CS50's Introduction to Programming with Python

  Learn Python programming through engaging projects and problem-solving challenges.

• 4.6 CS50's Web Programming with Python and JavaScript

  Build dynamic web applications using Python, JavaScript, and modern frameworks.

• 4.7 CS50's Introduction to Artificial Intelligence with Python

  Explore AI concepts and implement algorithms using Python in this hands-on course.

• 4.8 Machine Learning and AI with Python

  An intermediate course covering machine learning and AI topics, focusing on practical implementations with Python.

• 4.9 Data Science: Machine Learning (April 2025)

  A future offering of Harvard's popular machine learning course, updated with the latest advancements.

• 4.10 Artificial Intelligence in Business: Creating Value with Machine Learning

  Discover how AI and machine learning can drive value and innovation in business settings.

5. AI for Everyone by Andrew Ng

• 4.1 AI for Everyone

  This popular course by Andrew Ng offers an overview of AI, its impact on industries, and its ethical considerations. Perfect for non-technical audiences and professionals.

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Additional Resources Coming Soon!

Stay tuned for more recommendations and updates on AI learning sources as we continue to expand this list!