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Grokking AI for Engineering & Product Managers Course Review [Learn Artificial Intelligence]

Grokking AI for Engineering & Product Managers sounds like a pretty intimidating course.

But actually it’s not.

And as tech products continue to be infused with AI, the higher demand there will be for understanding it.

“What is artificial intelligence (AI)?”

Artificial Intelligence (AI) is the ability of a computer to perform tasks that typically require human intelligence.

Self-driving cars use AI

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“So what is this AI course all about anyway?”

Grokking AI for Engineering and Product Managers was actually made for engineering and product managers with no experience in AI.

The course shows you:

🔷 the basics of AI

🔷 ethical AI

🔷 rules, practices, and infrastructure

🔷 AI’s connection to machine learning

🔷 algorithms you should be familiar with as an engineering manager or product manager

And many more topics relevant to tech managers.

Understanding AI as a engineering or product manager can help you:

  • communicate with diverse teams
  • keep projects on task
  • solve technical issues
  • build trust

And more.

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Grokking AI for Engineering & Product Managers

⚠️ Level: Beginner

46 Lessons3 Quizzes111 Illustrations

Estimated completion time: 5 hours

Random forest algorithm on

The course is broken down into 5 modules:

  1. Fundamentals
  2. AI in Practice
  3. Real Case Studies
  4. Responsible AI
  5. What’s Next

Let’s take a peek at each section.

✨ Module 1: Fundamentals

… what if we want to use computers not just to fetch and display data, but to actually make decisions about data? … What if we want machines to perform cognitive functions we associate with human minds, like perceiving, reasoning, learning, interacting with the environment, problem-solving, and even exercising creativity?

– Samia Khalid, instructor of Grokking AI for Engineering and Product Managers

Here is where you’ll learn the absolute basics of AI for engineering and product managers. Topics covered include:

Basics of AI – relationship between artificial intelligence, machine learning and deep learning

Highs and Lows of AI – artificial intelligence throughout history

Understanding Machine Learning – main components, applications

Supervised Learning – algorithms: decision trees, random forests, artificial neural networks (ANN)

Unsupervised Learning – clustering, dimensionality reduction

Deep Learning – activation functions, neural network architecture and types

Natural Language ProcessingBERT, word embeddings, one-hot encoding, Word2Vec

Recommendation Systems – building blocks, algorithms, architecture, metrics

Example of recommendation system in Grokking AI for Engineers and Product Managers on

Evaluation MetricsRMSE, precision, recall and confusion matrix, AUC-ROC curve

And beyond.

Each topic is detailed enough to give you a general grasp on AI fundamentals.

✨ Module 2: AI in Practice

People need to trust AI in order to use it. From self-driving cars to Alexa commands, they want to know they’re in good hands.

🚨 Alert: You’re going to see a LOT of jargon in these upcoming lessons. But don’t worry – the instructor explains all of these terms!

Creating Great AI Products – best practices, ML pipeline, feature engineering, optimized refinement, etc.

AI InfrastructureMLaaS, frameworks (scikit-learn, TensorFlow, PyTorch, Keras), cloud services for AI solutions

And more.

✨ Module 3: Real Case Studies

Examining case studies helps you fuse your knowledge with the real world.

So here you’ll look at case studies of high-profile companies:

Starbucks: Millions of AI Infused Cups of Coffee

Netflix: Using AI to Give us Better Entertainment

American Express: AI and Credit Cards

AI for Wildlife Conservation: background, PAWS, Air Shepherd

PAWS uses AI to predict where poachers will strike in Grokking AI for Engineering & Program Managers on

And from there, you’ll take a machine learning (ML) quiz.

Grokking AI for Engineering & Product Managers Module 4: Responsible AI

This section considers the ethical ramifications of AI. As they say, “with great power comes great responsibility.”

Responsible AI practices include:

Fairness – creating AI apps that treat all people fairly

Interpretability – keeping AI systems understandable

Responsible AI Practices syllabus and graph
AI interpretability on

Privacy – AI systems respecting privacy, collection and handling of data, ethical boundaries in data processing

Security – adversarial training (fooling the system), recommended practices

Then you’ll go over 6 fictional case studies of AI issues and ethics.

Grokking AI for Engineering & Product Managers Module 5: What’s Next

The course concludes by examining the state of AI:

The Current State of AI in Numbers – conferences, technical performance, economy, education, autonomous systems, public perception, societal considerations, etc.

Future of AI – work, human experience, data, connectivity and cognitive AI

And from there, you’re provided with recommended resources to take learning AI to the next level.

💰 Grokking AI for Engineering & Product Managers Cost

You can buy this course for $79.

But with all the other deep and machine learning courses on, it might be worth getting a subscription:

Grokking AI for Engineering & Product ManagersMonthly
Cost$79 per
$59 per
$199 per year
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Is Grokking AI for Engineering & Product Managers worth it? Conclusion

If you’re an engineering manager or product manager looking for a beginner course for an introduction to AI, Grokking AI for Engineering & Product Managers is worth it.

By introducing concepts in a digestible and relatable manner, it’s easy to follow along. And it makes the learning process energetic instead of tedious.

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