AI and Machine Learning for Beginners

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About Course

AI & Machine Learning for Beginners

Take your first step into the exciting world of Artificial Intelligence with Edunology’s AI & Machine Learning for Beginners course. Designed especially for students and complete beginners, this course requires no prior coding or AI knowledge. You’ll learn the fundamentals of AI through simple explanations, practical demonstrations, and beginner-friendly activities that make learning engaging and easy.

The course introduces you to essential concepts such as Artificial Intelligence, Machine Learning, Python basics, Data Science, Neural Networks, and how AI is transforming industries around the world. Through guided hands-on projects and interactive exercises, you’ll gain practical exposure while building confidence to explore advanced AI in the future.

What You’ll Get

  • Beginner-friendly AI & Machine Learning curriculum
  • Easy-to-understand video capsules
  • Doubt support from mentors
  • Hands-on learning with beginner-level projects
  • Interactive quizzes after every module
  • Certificate of Completion by Edunology
  • Strong foundation for future AI learning

Exclusive Opportunities

  • Monetarial Grants for the Top 3 Best AI Business Ideas
  • FREE Pass to the Edunology AI & ML Challenge
  • Compete for prizes worth up to ₹1,00,000
  • Showcase your creativity and innovation

Course Starts

1st August

If you’re curious about Artificial Intelligence and want to learn one of the world’s most in-demand technologies from the ground up, this course is the perfect place to begin.

No coding experience. No technical background. Just curiosity and the willingness to learn.

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What Will You Learn?

  • Introduction to Artificial Intelligence (AI) and Machine Learning (ML)
  • Difference between AI, Machine Learning, and Deep Learning
  • Basics of Python Programming for AI
  • Understanding Data and Data Science Fundamentals
  • Data Collection, Cleaning, and Visualization
  • Machine Learning Workflow and Model Building
  • Types of Machine Learning: Supervised, Unsupervised & Reinforcement Learning
  • Basics of Neural Networks
  • Introduction to Deep Learning
  • How Recommendation Systems Work (Netflix, YouTube, Amazon)
  • Introduction to Computer Vision and Image Recognition
  • Basics of Natural Language Processing (NLP)
  • Working with Popular AI Tools and Platforms
  • Understanding Generative AI and Large Language Models
  • Writing Effective AI Prompts (Prompt Engineering)
  • Building Simple AI & ML Projects
  • Solving Real-World Problems Using AI
  • AI Ethics, Bias, Privacy, and Responsible AI
  • Developing AI-Based Business Ideas
  • Preparing for AI Competitions and Hackathons
  • Building a Strong Foundation for Advanced AI & Machine Learning Courses

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