Grokking AI for Engineering & Product Managers
Lead the GenAI revolution. Future-proof your skills by understanding AI basics, machine learning, algorithms, ethical practices, and real-world applications. Stay ahead in tech leadership.
- 46 lessons across 5 modules
- 3 quizzes with instant feedback
- AI Tutor on every lesson
Hi, I'm Samia! Why am I here? Because I love learning and then I love sharing what I learn in a way that makes it easier for the next person in line. I believe that learning should be easy, fun and intuitive. Unfortunately, more often than not, this is not the case. This flaw, gap or whatever you want to name it, led me to start my own blog about Machine Learning as well. And this is exactly why I am here too. I also like to write about inspiring Machine Learning developments because I believe that with a sprinkle of creativity, some data skills, and the willingness to make a difference, we can make this world a better place for everyone. You can find my blog here: https://towardsml.com Besides all this writing stuff and coding (my job), I am a book-worm, a fitness freak and an adventure lover. Oh, and did I mention that I love learning new things?:) (I regularly post informative AI related content/short lessons on LinkedIn; sometimes, I also post about productivity and work culture. If you are interested in learning more about any of these topics, you are welcome to follow me there.)
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What You'll Learn
- Differentiate AI, machine learning, and deep learning, and correct common AI myths
- Identify when to use supervised, unsupervised, or reinforcement learning for a product problem
- Explain key algorithms (regression, trees, Naive Bayes, random forests) and their business use cases
- Describe deep learning building blocks and when to use CNNs, RNNs/LSTMs, BERT, and embeddings
- Evaluate model performance using RMSE, precision/recall, confusion matrix, and AUC-ROC thresholds
- Design AI products users trust using clear goals, success criteria, explanations, and user control
- Apply responsible AI practices for fairness, interpretability, privacy, and security using case studies
Learning Roadmap
1.
The Fundamentals
The Fundamentals
2.
AI in Practice
AI in Practice
3.
Real Case Studies
Real Case Studies
5 Lessons
5 Lessons
4.
Responsible AI
Responsible AI
7 Lessons
7 Lessons
5.
What's Next
What's Next
5 Lessons
5 Lessons
Samia Khalid
I am a Sr. Applied Scientist/AI Engineer @ Microsoft, a firm believer in continuous learning, growth mindset, helping others, and in living a life rich in experiences.
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