Course Length | 12 weeks |
Lessons | 24, covering AI basics to advanced topics |
Hands-on | Yes, with labs & quizzes |
Frameworks | TensorFlow, PyTorch |
For | Beginners in AI |
Learning about Artificial Intelligence (AI) can be tough, but what if there was a way to make it easier and free? That’s exactly what the Microsoft Free AI Course offers! We’re excited to share how this course can be your first step into the world of AI. Whether you’re just curious or serious about learning AI, this course has something for everyone.
What You’ll Learn in the Microsoft Free AI Course
AI is a big topic, covering everything from how computers can be made to think like humans, to solving problems that are too complex for us to handle on our own. The Microsoft Free AI Course is like a treasure map, guiding you through the vast world of AI in 24 exciting lessons. Here’s a peek at what’s inside:
- The Basics: Start with learning what AI is all about, including the history and how it’s being used today.
- The Brains Behind AI: Dive into Neural Networks and Deep Learning. It’s like learning how to build a brain for a computer!
- Seeing and Speaking: Discover how computers can recognize what they see (Computer Vision) and understand human language (Natural Language Processing).
- Cool Tech: Explore the cutting-edge, from AI that can create art (Generative AI) to programs that can learn on their own.
Each lesson is designed to be easy to follow, with plenty of examples and hands-on activities to help make the learning stick.
Hands-on Learning with the Microsoft Free AI Course
What makes this course special is how it turns theory into practice. You won’t just be reading about AI; you’ll be doing it! Here are some of the hands-on highlights:
- Quizzes & Labs: Test what you’ve learned and apply it in real-world scenarios.
- Code It Yourself: Use popular tools like TensorFlow and PyTorch to write your own AI programs.
It’s all about learning by doing, which is the best way to understand how AI works.
For those interested in the artistic side of AI, our guide on Generative AI is a must-read!
Why the Microsoft Free AI Course is Perfect for Beginners
This course is built for anyone who’s curious about AI. Here’s why it’s great for beginners:
- Free: No cost means everyone can start learning.
- Flexible: Learn at your own pace, fitting the course into your busy life.
- Supportive: With quizzes and labs, you’ll get feedback on how you’re doing.
And if you’re looking for more resources, our AI Apps page is packed with tools to help you apply what you’ve learned.
Overview of Microsoft’s Free AI Course Curriculum
The table outlines the curriculum of Microsoft’s Free AI Course, segmented into several key areas of AI study, such as Introduction to AI, Symbolic AI, Neural Networks, Computer Vision, Natural Language Processing (NLP), Other AI Techniques, and AI Ethics.
Each row represents a lesson, detailing its focus area, available materials (Text, PyTorch, Keras/TensorFlow), and whether a practical lab session is included. Clicking on “Text” leads you to theoretical content, while “PyTorch” and “Keras/TensorFlow” direct you to coding exercises in those respective frameworks.
The “Lab” column indicates hands-on practice sessions where you can apply what you’ve learned. This structured approach helps learners progress from basic concepts to more complex AI applications, offering both reading material and practical coding experiences to reinforce learning.
No | Lesson | Intro | PyTorch | Keras/TensorFlow | Lab |
I | Introduction to AI | ||||
1 | Introduction and History of AI | Text | |||
II | Symbolic AI | ||||
2 | Knowledge Representation and Expert Systems | Text | Expert System, Ontology, Concept Graph | ||
III | Introduction to Neural Networks | ||||
3 | Perceptron | Text | Notebook | Lab | |
4 | Multi-Layered Perceptron and Creating our own Framework | Text | Notebook | Lab | |
5 | Intro to Frameworks (PyTorch/TensorFlow) and Overfitting | Text | PyTorch | Keras/TensorFlow | Lab |
IV | Computer Vision | Microsoft Azure AI Fundamentals: Explore Computer Vision | |||
Microsoft Learn Module on Computer Vision | PyTorch | TensorFlow | |||
6 | Intro to Computer Vision. OpenCV | Text | Notebook | Lab | |
7 | Convolutional Neural NetworksCNN Architectures | TextText | PyTorch | TensorFlow | Lab |
8 | Pre-trained Networks and Transfer LearningTraining Tricks | TextText | PyTorch | TensorFlowDropout sampleAdversarial Cat | Lab |
9 | Autoencoders and VAEs | Text | PyTorch | TensorFlow | |
10 | Generative Adversarial NetworksArtistic Style Transfer | Text | PyTorch | TensorFlow GANStyle Transfer | |
11 | Object Detection | Text | PyTorch | TensorFlow | Lab |
12 | Semantic Segmentation. U-Net | Text | PyTorch | TensorFlow | |
V | Natural Language Processing | Microsoft Azure AI Fundamentals: Explore Natural Language Processing | |||
Microsoft Learn Module on Natural language processing | PyTorch | TensorFlow | |||
13 | Text Representation. Bow/TF-IDF | Text | PyTorch | TensorFlow | |
14 | Semantic word embeddings. Word2Vec and GloVe | Text | PyTorch | TensorFlow | |
15 | Language Modeling. Training your own embeddings | Text | PyTorch | TensorFlow | Lab |
16 | Recurrent Neural Networks | Text | PyTorch | TensorFlow | |
17 | Generative Recurrent Networks | Text | PyTorch | TensorFlow | Lab |
18 | Transformers. BERT. | Text | PyTorch | TensorFlow | |
19 | Named Entity Recognition | Text | TensorFlow | Lab | |
20 | Large Language Models, Prompt Programming and Few-Shot Tasks | Text | PyTorch | ||
VI | Other AI Techniques | ||||
21 | Genetic Algorithms | Text | Notebook | ||
22 | Deep Reinforcement Learning | Text | PyTorch | TensorFlow | Lab |
23 | Multi-Agent Systems | Text | |||
VII | AI Ethics | ||||
24 | AI Ethics and Responsible AI | Text | MS Learn: Responsible AI Principles | ||
Extras | |||||
X1 | Multi-Modal Networks, CLIP and VQGAN | Text | Notebook |
If you rather prefer a mind map you can follow this link: https://soshnikov.com/courses/ai-for-beginners/mindmap.html
Get Started with Microsoft’s Free AI Course Today!
There’s no better time to start learning AI, and with the Microsoft Free AI Course, you’ve got everything you need to get started. Dive into lessons, play with code, and see how AI can open up a whole new world of possibilities.
Remember, AI isn’t just for tech experts; it’s for everyone. So, why wait? Jump into the Microsoft Free AI Course and start your AI adventure today. And don’t forget to subscribe to our newsletter for the latest updates and resources to fuel your learning journey.
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