AI for Beginners: From Theory to Practice 

Data and AI
GenAI
Generative AI

Dive into the world of Artificial Intelligence with this beginner-friendly course. Learn how AI works, explore its history, and create your first AI model. 

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What will you learn?

This course is your gateway to Artificial Intelligence. You will explore its origins, understand key concepts like machine learning and deep learning, and see how AI is transforming industries such as healthcare, retail, and finance. By the end of the course, you will confidently build your first AI model in Python using tools like Jupyter Notebook and Scikit-learn. Plus, you will get a sneak peek into the future of AI, discovering the trends shaping this exciting field. 

Key takeaways

  1. Grasp the basics of AI and its types 
  2. Learn core concepts like ML and neural networks 
  3. Discover real-world AI applications 
  4. Build your first AI model with Python 
  5. Explore emerging AI technologies 

Program

  • Introduction to AI: Explore AI, its history, and the different types of AI. 
  • Key Concepts in AI: Learn about machine learning, neural networks, and deep learning. 
  • Real-World AI Applications: Discover how AI is used in industries like healthcare, retail, and finance. 
  • Simple AI Models: Hands-on learning to build a basic AI model in Python. 
  • Future of AI: Uncover trends and emerging technologies shaping AI’s evolution. 

Who is it for?

This course is perfect for anyone curious about Artificial Intelligence, whether you are a student, a professional, or just an enthusiast eager to understand the basics and gain practical AI skills. 

Requirements

Basic knowledge of the topic is beneficial. 

Why should I do this training?

Hands-on

Build an AI model yourself.

Expert guidance

Learn from professionals in the field.

Future-ready skills

Explore AI trends and applications. 

What else
should I know?

After registering, you will receive a confirmation email with practical information.

See you soon!

Course information

No prior coding experience is required

Includes access to Python and Jupyter Notebook tutorials

Certificate of completion provided

Flexible online learning format

8-10 hours packed with interactive learning

Lifetime access to course materials

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