AI Is moving fast, while most managers are standing still.
Understand what AI can and can't do
No tech jargon, but technology explained for non-tech people. You do have better results when you understand what AI is, what it can and can't do.
Lead GenAI adoption responsibly
We move beyond email drafting. Learn how to speak with AI, discover use case ideas and tools.
Know how AI gets built and deployed
How to integrate AI into an existing project? When to buy and when to build? What to build? Your team experiments with AI tools but nobody set guardrails, so where are the risks? Answers inside :)
After this course, you won't just understand AI. You'll know what to do with it.
Become that employee that gets praised for the great ideas and right questions! In 11 structured modules, that you can follow in one afternoon, you'll go from "I use ChatGPT" to confidently evaluating AI projects, asking the right questions, and leading AI adoption in your organization.
Course Curriculum
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1
Introduction
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Learning Objectives
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Intro Thoughts
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2
AI Fundamentals
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AI Overview
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AI History
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Traditional Programming vs ML
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Key Terms Around AI
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AI in the Real World
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Essential Machine Learning Vocabulary
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Summary
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3
Understand Machine Learning Types
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Traditional Machine Learning vs Generative AI
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What is Supervised Learning
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Regression vs Classification
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Supervised Learning in the Real World
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Unsupervised Learning
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Clustering
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Unsupervised Learning in the Real World
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Reinforcement Learning
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Summary
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4
Steps for Building a Model
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Steps for Building a Model
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Data Preparation
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ML Model Generation
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Model Evaluation for Classification
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Model Validation for Regression Models. Underfitting. Overfitting
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Evaluation for Unsupervised Learning
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5
AI for Images & Text
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Introduction to Deep Learning
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Why Deep Learning
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Introduction to Object Detection
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Data Labeling
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Data Labeling for Object Detection
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Introduction to NLP
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NLP Techniques
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6
Generative AI Introduction
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GenAI Recap
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How GenAI Works
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GenAI Models Comparison
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7
Writing Better Prompts
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About Prompting
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Prompt Engineering Techniques
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Improve the Answer
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8
Generative AI Use Cases
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Where to apply AI
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Data Analysis with Gen AI
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AI-Driven Data Exploration Demo
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AI Warning
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GenAI Text Examples
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GenAI Text Examples for Daily Life
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Just Ask
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GenAI for Images
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GenAI for Images Use Cases
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GenAI for Video
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GenAI for Video Use Cases
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GenAI for Audio
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GenAI for Audio Examples
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9
Deploying AI in Production
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APIs - the Bridge Between AI Models and Products
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The Cloud
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Deploying AI
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Using an Existing AI Service
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Finding the Right Team
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10
AI Ethics
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AI Ethics
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Responsible AI Principles
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11
Final Thoughts
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Final Thoughts
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Meet Your Instructor, Adela Mureșan
‣ 13+ years delivering AI in production ‣ Led AI implementation from research to production in banking and enterprise environments ‣ Founder of AIVise, your AI advisor - AI training & consulting for organizations ‣ Built AI products used by millions of users in production ‣ Hands-on experience with computer vision, NLP, deep learning, and generative AI in production ‣ Looking at AI from both sides: developer and manager for a unique blend between business and tech
Built for Leaders, Not Engineers
Product Managers
Identify new AI features, learn where it can fit in your products, and communicate with development teams without getting lost in the communication.
Business Leaders & Executives
Make informed AI investment decisions, cut through vendor hype, and lead digital transformation with confidence.
Entrepreneurs & Founders
Understand what's possible with AI for your product, when to build vs. buy, and how to hire your first AI talent.
30-Day Money-Back Guarantee
Enroll today, go through the course, and if you don't feel more confident about AI, contact us for a full refund. No questions, no hassle. We know this course works because it's built from years of real implementation experience, not some theory, but you can decide for yourself.
The next AI conversation you walk into, you'll own the room.
Stop being the person who nods along. Start being the one who asks the question that changes the conversation.
€147,00