The Different AI Course 

Designed for software developers & tech product managers, this course offers: • Introduction to Python • Data Science notions • ML concepts • Object detection theory & projects • NLP fundamentals • GenAI tools and ideas • API development with Python • Deploying a model on prem or in the cloud • Using cloud services in your app • AI Ethics In a nutshell: no complex math, practical examples and production-ready skills, all packed together, designed for you to master AI in 11 weeks.

Meet Your AI Guide

With 15+ years in software engineering and over a decade working with AI & Big Data, I’ve helped build real-world AI solutions across industries like automotive, e-commerce, banking, and map-making. I’ve been on both sides—developing and managing—so I truly understand what it takes to bridge the gap between AI theory and real-world implementation and I know it’s a process… My mission? To make AI practical and accessible, helping professionals to fully understand AI and even more, not just understand it, but actually apply it in their work. Now, as I launch my own AI-powered company, I’m excited to share the insights that turn AI from just a concept into a powerful, production-ready tool. Oh, how I wish someone had just told me step by step how to learn AI and even more, how to get it to production! I did not have this, but I can prepare it for others. I’ve designed a course that teaches all aspects of AI, from concepts, learning Python, data science, ML concepts, object detection, NLP notions, GenAI and deployment mechanisms, just as I would have needed in my job. More on me, on LinkedIn: https://www.linkedin.com/in/adelamuresan/ 

Curriculum

  1. 1

    Course Introduction

    1. Welcome Note Free preview
    2. Course Introduction Free preview
  2. 2

    Introduction to AI and ML

    1. Introduction to Artificial Intelligence Free preview
    2. (Included in full purchase)
    3. Supervised Learning, Unsupervised Learning, Reinforcement Learning Free preview
    4. (Included in full purchase)
    5. (Included in full purchase)
  3. 3

    Data Handling, Preprocessing and Visualizations

    1. (Included in full purchase)
    2. (Included in full purchase)
    3. (Included in full purchase)
    4. (Included in full purchase)
    5. (Included in full purchase)
  4. 4

    Supervised Learning and Model Building

    1. (Included in full purchase)
    2. (Included in full purchase)
    3. (Included in full purchase)
  5. 5

    Model Evaluation, Tuning, and Optimization

    1. (Included in full purchase)
    2. (Included in full purchase)
    3. (Included in full purchase)
  6. 6

    Unsupervised Learning

    1. (Included in full purchase)
    2. (Included in full purchase)
    3. (Included in full purchase)
    4. (Included in full purchase)
  7. 7

    Deep Learning and Neural Networks

    1. (Included in full purchase)
    2. (Included in full purchase)
    3. (Included in full purchase)
    4. (Included in full purchase)
    5. (Included in full purchase)
  8. 8

    Object Detection

    1. (Included in full purchase)
    2. (Included in full purchase)
    3. (Included in full purchase)
    4. (Included in full purchase)
    5. (Included in full purchase)
  9. 9

    Natural Language Processing (NLP)

    1. (Included in full purchase)
    2. (Included in full purchase)
    3. (Included in full purchase)
    4. (Included in full purchase)
  10. 10

    Generative AI and GPT Models

    1. (Included in full purchase)
    2. (Included in full purchase)
    3. (Included in full purchase)
    4. (Included in full purchase)
    5. (Included in full purchase)
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  11. 11

    AI Model Deployment and Integration

    1. (Included in full purchase)
    2. (Included in full purchase)
    3. (Included in full purchase)
    4. (Included in full purchase)
  12. 12

    AI Ethics, Explainability, and Capstone Project

    1. (Included in full purchase)
    2. (Included in full purchase)
    3. (Included in full purchase)
    4. (Included in full purchase)
    5. (Included in full purchase)
    6. (Included in full purchase)

Ready to Master AI? Start today to prepare for tomorrow.

Go from basics, to understanding and to practical examples. 

No jargon or complex math

We make AI approachable for professionals like you withhout drowning in complex logic. Step-by-step guidances, with simple examples, makes the transition smoother. 

It's not just ChatGPT

With the launch of ChatGPT, people without prior exposure to AI,now have access to it and a lot of courses started to appear that "explain AI". The reality is that the Artificial Intelligence field is so much more. We will discover the great capabilities of GenAI, but we don't stop here. We'll explore what is behind other areas of AI like classifications, clustering, object detection, NLP and more, all together with the right programming tools to get started.

How to take it to production

If you stop at theory, what's the point? You need to understand how to implement AI and how to get it into production and that's exactly the aim of this course. With clear steps that show how to transition from the theory to an actual implementation and from there to production, either on-prem or on cloud. 

The course that evolves with you

The course is designed to be published one module per week. As you advance through it, you can give feedback. Based on these, the following modules are updated accordingly to capture the most frequent desires so that by the time you get to the next modules, the course addresses better your learning style.