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AI Ecosystem for the Absolute Beginners - Hands-On

Master the AI ecosystem: AI, ML, DL, and GenAI. Hands-on demos & exercises. Build your AI skills with engaging lectures & quizzes.

4.9(22)
4,031students
5h 6m
Certificate
Yogesh Raheja
Yogesh RahejaDevOps, Automation and Cloud Coach and Consultant

Course Content

AI Ecosystem for the Absolute Beginners - Hands-On is an all-levels Udemy course taught by Yogesh Raheja. It runs 5h 6m, is taught in English, and includes a certificate of completion. Learners rate it 4.9 out of 5 from 22 reviews, with 4,031 students enrolled. It is a paid course, last updated June 2025.

Explore the AI Ecosystem for Absolute Beginners! This comprehensive course is perfect for anyone, from those just starting their AI journey to experienced professionals seeking to expand their knowledge. We'll provide a solid foundation into the world of Artificial Intelligence (AI), covering the entire AI application lifecycle and essential concepts.

What You'll Learn:

  • Fundamentals of AI: Understand what Artificial Intelligence (AI) is and how it's revolutionizing industries like healthcare and finance. Learn how AI algorithms analyze data to improve performance and drive innovation.
  • Machine Learning (ML): Dive into the core concepts of Machine Learning, including data preprocessing, model evaluation, and validation. Discover real-world applications of ML.
  • Deep Learning (DL) & Artificial Neural Networks (ANN): Get hands-on experience with Deep Learning and Artificial Neural Networks.
  • Generative AI: Explore the exciting world of Generative AI, including core algorithms, workflow, and future trends. Learn to apply GenAI in various fields.
  • Prompt Engineering: Master the art of prompt engineering using ChatGPT to unlock the full potential of generative AI.
  • AWS AI Services: Gain practical skills using powerful AWS services like:
    • Amazon Rekognition: Learn label detection, facial analysis, and build a capstone project.
    • Amazon Forecast: Master time series forecasting with a hands-on demo.
    • Amazon Comprehend: Analyze sentiment with a practical demonstration.
    • Amazon Bedrock: Generate text, images, and build chatbots with hands-on exercises.
  • AI Ethics & Risks: Understand the potential risks of AI and the importance of AI ethical considerations. Learn best practices for responsible AI development.
  • End-to-End Capstone Project: Apply your knowledge in a comprehensive capstone project focused on the AI ecosystem using Generative AI and Amazon Bedrock.

Course Structure:

  • Engaging Lectures
  • Practical Demos
  • Reinforcing Quizzes
  • Hands-on Assignments

Course Content Highlights:

  • Introduction to AI Ecosystem: A comprehensive overview.
  • Getting Started with Artificial Intelligence (AI): A beginner-friendly introduction.
  • AI Evolution, Business Benefits, Real World Use Cases: Explore the impact of AI.
  • Amazon Rekognition Service: Hands-on label detection, facial analysis, and capstone project.
  • Understanding Machine Learning (ML): Data preprocessing, model evaluation, and real-world applications.
  • Amazon Forecast Service: Time series forecasting with a demo.
  • Getting Started with Deep Learning (DL) & Artificial Neural Networks (ANN): Fundamentals of DL.
  • Amazon Comprehend Service: Sentiment analysis with a practical demo.
  • Getting started with GenAI: Core algorithms and workflow.
  • GenAI Application Fields, Future Trends and ToolSet: Explore the potential of generative AI.
  • Amazon Bedrock Service: Text generation, image generation, and chatbot development.
  • Understanding Prompt Engineering: Mastering ChatGPT for AI applications.
  • Potential Risks of AI: Addressing ethical concerns.
  • AI Ethical Considerations: Best practices for responsible AI.
  • End to End Capstone Project for AI Ecosystem: A practical application of all learned concepts.

Student Testimonials:

"★★★★★ Amazingly explained the concepts with simple day to day life examples."
"★★★★★ Best course to learn AI."

Course Updates:

  • May 12, 2025: Added lecture on "Google Firebase Studio for Building Projects"
  • May 30, 2024: Added Capstone Project with Amazon Bedrock and Custom UI
  • November 16, 2024: Added Capstone Project for Model Training

Key Features:

  • Live Demonstrations: All sections are demonstrated live to guide you through creating your own local environment and performing exercises.
  • Learn by Doing: Hands-on approach ensures practical skill development.
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