Microsoft Free Courses Training ✅

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Microsoft Free Courses Training :white_check_mark:

Data fundamental
https://learn.micros…elational-data/

SQL fundamental
https://learn.micros…l-fundamentals/

Power BI
https://learn.micros…ports-power-bi/

Azura cosmos DB
https://learn.micros…ports-power-bi/

Ai fundamentals
https://learn.micros…chine-learning/

Source: Onehack.us

Enjoy! :slight_smile:

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Check Out These 5 Microsoft Must-Do Introductory Learning Paths on Machine Learning — and They’re All FREE!

Introduction:

Are you interested in diving into the world of machine learning but not sure where to start? Microsoft has you covered with a series of free, introductory learning paths designed to help you grasp the basics and more. Whether you’re a beginner or looking to strengthen your foundation, these courses will provide you with the knowledge and skills to get started on your machine learning journey. Here’s a roundup of the top 5 Microsoft learning paths on machine learning that are absolutely free!

1. Introduction to Machine Learning

If you’re new to the field, the Introduction to Machine Learning module is the perfect place to start. This introductory course will help you grasp the fundamental concepts of machine learning, giving you a solid base to build upon as you explore more advanced topics.

Why You Should Take This Course:

  • Learn the basic principles and applications of machine learning.
  • Understand key terminology and processes involved in developing machine learning models.

Link: Introduction to Machine Learning

2. Fundamentals of Machine Learning

To truly understand artificial intelligence, it’s crucial to have a firm grasp of machine learning concepts. The Fundamentals of Machine Learning module dives deeper into the core concepts that form the basis for most AI solutions.

Why You Should Take This Course:

  • Gain familiarity with essential machine learning concepts that underlie AI technologies.
  • Learn about different types of machine learning and when to apply them.

Link: Fundamentals of Machine Learning

3. Create Machine Learning Models

Once you have a handle on the basics, it’s time to start creating your own models. This learning path focuses on teaching you how to create machine learning models using various tools and techniques. From classical models to exploratory data analysis, you’ll get hands-on experience right in your browser.

Why You Should Take This Course:

  • Learn to build, train, and evaluate machine learning models.
  • Utilize interactive Jupyter notebooks for a hands-on learning experience.

Link: Create Machine Learning Models

4. Introduction to PyTorch

PyTorch is one of the most popular libraries for building machine learning models. The Introduction to PyTorch module will guide you through key concepts for developing models, including training a neural network to recognize and classify images.

Why You Should Take This Course:

  • Gain practical experience with PyTorch, a powerful tool for machine learning.
  • Learn to train neural networks and develop image classification models.

Link: Introduction to PyTorch

5. Introduction to Data for Machine Learning

Data is the backbone of any machine learning model, and understanding how to prepare and manage this data is crucial. This course teaches you how to understand your data, clean it, encode it correctly, and prepare it for high-performance models.

Why You Should Take This Course:

  • Learn data preparation techniques essential for machine learning.
  • Understand how to clean and encode data for better model performance.

Link: Introduction to Data for Machine Learning

Conclusion:

Whether you’re just starting or looking to strengthen your machine learning foundation, these Microsoft learning paths offer valuable insights and hands-on experience to help you succeed. And the best part? They’re all free! Take advantage of these resources today and start your journey into the exciting world of machine learning.

Happy learning!

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