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AI for Product Managers | Pragmatic Institute
Integrate AI across the product lifecycle to accelerate innovation, enhance team output, and drive product success
Learn How and When to Use AI in Products | Pragmatic Institute
A hands-on course that teaches product teams how to identify, evaluate, and position AI opportunities for real product impact.
AI for Product Marketers | Pragmatic Institute
Harness AI for product marketing to create more data-driven go-to-market plans and quickly scale marketing processes.
Beyond Web Browsers - HITL and Tool Integration for Nova Agents
Explore advanced Nova Agents beyond web browsing with hybrid approaches, human-in-the-loop oversight, and innovative LLM-tool interactions for autonomous AI systems.
Platforms and AI Are Reshaping Healthcare - And What We Can Learn From That
Explore how platform engineering transforms healthcare through AI, breaking compliance bottlenecks and building sovereignty-preserving systems that scale in regulated environments.
Amazon Nova Forge - Build Your Own Frontier Models Using Amazon Nova
Discover Amazon Nova Forge, AWS's groundbreaking service for building custom frontier AI models cost-effectively, featuring real-world implementation insights from Reddit's ML team.
Deep Reinforcement Learning - Frontiers - Lecture 18
Explore cutting-edge frontiers in deep reinforcement learning, covering problem setup, advanced methods, and real-world deployment strategies with Stanford's expert guidance.
Trends in Deep Learning Hardware
Explore how powerful computing hardware enables AI breakthroughs, from GPUs to specialized chips tackling today's demanding deep learning challenges.
Broadcom TPU's 40% Cheaper TCO than NVIDIA - AI Cares About Cost
Discover how Broadcom TPUs offer 40% lower total cost of ownership compared to NVIDIA solutions for AI workloads and why cost matters in AI infrastructure decisions.
NFL Next Gen Stats - Decoding Defensive Coverage Using Transformer Architectures
Discover how NFL and AWS decode defensive football strategies using advanced transformer architectures and spatio-temporal ML models for real-time coverage analysis.
To Bridge the Gap Between AI and Finance
Explore the intersection of machine learning and finance, covering tail risk management, portfolio optimization, derivatives, uncertainty quantification, and out-of-distribution generalization.
Deep Reinforcement Learning - Tutorial Session: Review of Q-Learning
Dive into Q-learning fundamentals with MDP review, parametric approaches, and practical algorithm walkthroughs for deep reinforcement learning mastery.