Comprehensive Online Courses
1. Microsoft's AI for Beginners
This 12-week, 24-lesson curriculum offers a comprehensive introduction to artificial intelligence concepts and practical applications. It's designed for beginners and covers:
- Different approaches to AI including symbolic approaches
- Neural Networks and Deep Learning with TensorFlow and PyTorch
- Neural Architectures for working with images and text
- Alternative AI approaches like Genetic Algorithms
The curriculum includes hands-on labs and practical exercises to reinforce your learning.
Microsoft AI for Beginners
2. Microsoft's Generative AI for Beginners
This course provides 21 lessons focused specifically on generative AI applications. It covers:
- Fundamentals of generative AI and Large Language Models (LLMs)
- Responsible AI development practices
- Prompt engineering techniques
- Building various AI applications (text, chat, search, image generation)
- Advanced topics like vector databases, function calling, and AI agents
The course includes both Python and TypeScript examples and is suitable for beginners.
Generative AI for Beginners
3. Artificial Intelligence Tutorial by TutorialsPoint
This comprehensive tutorial covers AI fundamentals with sections on:
- AI overview and terminology
- Different types of AI
- Applications across various industries
- Basic concepts and algorithms
It's a good starting point for those looking to understand AI conceptually before diving into practical applications.
TutorialsPoint AI Tutorial
AI Applications by Industry
4. Industry-Specific AI Applications (Simplilearn)
This tutorial explores how AI is being applied across different sectors, including:
- E-commerce: Personalized shopping, AI-powered assistants, fraud prevention
- Education: Task automation, smart content creation, personalized learning
- Healthcare: Disease detection, early diagnosis, drug discovery
- Finance: Performance measurement, forecasting, automated credit assessment
- Agriculture: Weather predictions, pest identification, crop monitoring
- Automotive: Self-driving vehicles, quality checks, safety systems
It's perfect for understanding the practical applications of AI in specific domains.
AI Applications by Industry
Video Tutorials
5. Google's AI Course for Beginners
This concise 10-minute video tutorial breaks down Google's AI course, covering:
- Fundamentals of AI, Machine Learning, and Deep Learning
- Differences between these related technologies
- Real-world applications of AI in tools like ChatGPT
Google's AI Course for Beginners
6. Artificial Intelligence Full Course by Edureka
This comprehensive 4.5-hour video course covers:
- Complete introduction to AI concepts
- Detailed explanations of algorithms and methodologies
- Practical examples and use cases
Artificial Intelligence Full Course
7. ChatGPT Tutorial for Beginners
This tutorial provides a complete guide to using ChatGPT, one of the most popular AI applications:
- Basic and advanced prompting techniques
- Practical use cases for everyday tasks
- Tips for getting the best results
ChatGPT Tutorial for Beginners
Specialized AI Applications
8. Building AI Agents
For those interested in creating AI agents that can perform tasks autonomously:
- Explanation of AI agent concepts and architecture
- Step-by-step guide to building AI agents
- Practical applications and use cases
9. Image Generation with Stable Diffusion
A comprehensive guide to using Stable Diffusion for image generation:
- How the model works
- Step-by-step instructions for running Stable Diffusion online
- Setting up Stable Diffusion locally
10. Retrieval Augmented Generation (RAG) Tutorial
This in-depth tutorial covers building AI systems that can retrieve and use information:
- Implementation of RAG from scratch
- Python implementation with LangChain
- Practical applications and use cases
Low-Code AI Applications
11. AI Automation Guide
For those looking to automate tasks with AI without extensive coding:
- Using tools like Zapier with ChatGPT
- Setting up automated AI workflows
- Practical examples of AI automation
AI Automation: Complete Beginners Guide
12. Zapier AI Tutorial
This tutorial focuses specifically on using Zapier's AI capabilities:
- Setting up automations (Zaps) for repetitive tasks
- Integrating AI with various applications
- Real-world automation examples
Zapier AI Tutorial for Beginners
Coding-Focused AI Tools
13. Cursor AI Tutorial
For developers looking to use AI to enhance their coding:
- Using AI for code completion and generation
- Practical coding workflows with AI assistance
- Tips and best practices
14. Microsoft Copilot Tutorial
This tutorial covers using Microsoft's AI assistant:
- Using Copilot in Windows and Microsoft 365 apps
- AI-assisted creation and editing
- Practical workflows and examples
Next Steps
As you explore these tutorials, I recommend starting with a broader course like Microsoft's AI for Beginners or the Simplilearn AI Applications overview to build a foundation. Then, move on to specialized tutorials based on your specific interests or needs.
Many of these resources offer hands-on components, so be prepared to practice what you learn by working through exercises and building small projects. This practical experience is crucial for truly understanding how to use AI applications effectively.
Is there a particular aspect of AI applications you're most interested in learning about? I can provide more specific recommendations based on your interests.
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