10 Free AI Courses with Certificates

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Are you ready to dive into the fascinating world of artificial intelligence? Whether you’re a curious beginner or a seasoned tech enthusiast, these 10 Free AI Courses with Certificates will ignite your passion and supercharge your skills. 🚀

From Google’s generative magic to Microsoft’s business transformation secrets, we’ve got it all covered. Buckle up, because the future is here, and it’s powered by AI! 

1. Google’s Generative AI Learning Path

Overview:

Google’s Generative AI Learning Path is a fantastic starting point for understanding generative artificial intelligence. It consists of five short courses, each lasting just one day. Let’s break it down:

Course Details:

  • Introduction to Generative AI: Get acquainted with the basics of generative AI. Learn about the underlying principles and explore use cases.
  • Introduction to Large Language Models: Dive into the world of large language models. Understand how they work and their applications.
  • Prompt Tuning Techniques: Discover how to fine-tune prompts for better AI responses.
  • Responsible AI Usage: Learn ethical considerations when working with AI models.

2. Microsoft’s “Transform Your Business With AI” Course

Overview:

Microsoft’s course focuses on practical applications of AI in business. Here’s what you’ll explore:

Course Details:

  • AI Concepts: Understand the fundamental concepts behind artificial intelligence.
  • Business Transformation: Learn how AI can revolutionize businesses.
  • Best Practices: Explore implementation best practices.

3. Google’s “Machine Learning Foundational Course”

Overview:

This self-paced course from Google covers the essentials of machine learning. Let’s dive in:

Course Details:

  • Supervised vs. Unsupervised Learning: Understand the difference between these two approaches.
  • Neural Networks: Explore the building blocks of deep learning.
  • Practical Examples: Work through hands-on exercises.

4. LinkedIn’s “Career Essentials In Generative AI” Training Course

Overview:

LinkedIn’s course is designed to boost your career prospects in generative AI. Here’s what you’ll learn:

Course Details:

  • Language Models: Gain practical insights into language models.
  • Applications: Understand how generative AI is used in real-world scenarios.

5. “IBM: AI Foundations for Everyone” Training Course

Overview:

IBM’s course caters to non-experts, providing a hands-on introduction to AI. Let’s explore:

Course Details:

  • Key Concepts: Grasp essential AI concepts.
  • Practical Examples: Work through practical exercises.

6. Digital Partner’s “Fundamentals of ChatGPT” Training Course

Overview:

This self-paced course delves into chatbot development using ChatGPT. Here’s what you’ll cover:

Course Details:

  • Natural Language Processing: Understand the basics of NLP.
  • Conversation Design: Learn how to create effective chatbot interactions.

7. DeepLearning.AI’s “AI for Everyone” (Coursera)

Overview:

This four-week course is perfect for beginners. Let’s see what’s inside:

Course Details:

  • Business Impact of AI: Explore how AI affects businesses and society.
  • No Coding Required: Dive into AI without needing to write code.

8. Phil Ebner’s AI Crash Course (Udemy)

Overview:

Phil Ebner’s comprehensive course covers AI concepts and practical applications. Here’s the breakdown:

Course Details:

  • Theory and Practice: Understand both theoretical concepts and hands-on applications.
  • Algorithms and Tools: Explore various AI algorithms and tools.

9. Best University-level Introduction with Common Lisp for Programmers (University of Oslo)

Overview:

For those interested in diving deeper, this course focuses on AI using Common Lisp:

Course Details:

  • Common Lisp Basics: Get started with this powerful programming language.
  • AI Foundations: Explore AI concepts and applications.

10. Best Technical Introduction for Python Programmers (Microsoft)

Overview:

Microsoft’s technical course caters to Python programmers. Let’s see what’s on the agenda:

Course Details:

  • Machine Learning and Deep Learning: Dive into the technical aspects.
  • Practical Projects: Apply your knowledge to real-world projects.

And there you have it! 🎉 The AI universe awaits your exploration. Remember, learning is a journey, not a destination. So, grab your digital backpack, put on your neural network sneakers, and let’s embark on this thrilling quest together! 🌟 Remember to explore these courses, complete assignments, and earn certificates. 🎓 Happy learning!