What will you learn in Grokking AI for Engineering & Product Managers Course
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Core AI & ML fundamentals: Explore supervised, unsupervised, reinforcement learning, deep learning (CNNs/RNNs), NLP, transfer learning, and evaluation metrics.
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Building trustable AI products: Understand AI infrastructure, ethical principles, bias management, and best practices to design reliable, user-centric AI solutions.
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Real-world use-case insight: Learn through case studies on Starbucks, Netflix, American Express, and wildlife conservation how AI drives real business value.
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Responsible AI & ethics knowledge: Dive into policies, frameworks, and ethical AI decision-making strategies.
Program Overview
Module 1: The Fundamentals
~2 hours
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Topics: AI, ML, DL architectures, CNN/RNN basics, NLP concepts, transfer learning.
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Hands-on: Quizzes following deep dives into these foundational topics.
Module 2: AI in Practice
~1 hour
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Topics: Trustworthy AI, ML infrastructure, cloud and framework overviews.
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Hands-on: Quiz-based scenarios on infrastructure and ethical best practices.
Module 3: Real Case Studies
~45 minutes
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Topics: Starbucks personalization, Netflix recommendations, AmEx fraud systems, wildlife conservation AI.
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Hands-on: Assess case study takeaways through interactive quizzes.
Module 4: Responsible AI
~45 minutes
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Topics: Ethical frameworks, bias detection, regulatory concerns, transparency methods.
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Hands-on: Quiz on responsible practices and classroom-style reflection.
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Job Outlook
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Bridging tech & leadership: Empowers engineering and product managers to lead AI initiatives with confidence.
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Broader relevance: Applies to roles in product development, AI strategy, innovation, data science, and architecture.
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High current demand: Provides an edge in managing AI integrations, ethical frameworks, and product roadmapping.
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AI-informed leadership skill: Enables better communication with ML teams, ensuring strategic alignment and responsible delivery.
Explore More Learning Paths
Take your AI and product management skills to the next level with these hand-picked programs designed to strengthen your technical decision-making and leadership capabilities in engineering and product roles.
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Related Reading
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What Is Data Management? – Understand how proper data management practices support AI initiatives and product development workflows.
