Gain practical experience of creating security solutions and designing secure, highly available, and dynamic infrastructure for your organization

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Grasp the fundamental concepts of deep learning using Tensorflow in a hands-on manner

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With Hands-On Recommendation Systems with Python, learn the tools and techniques required in building various kinds of powerful recommendation systems (collaborative, knowledge and content based) and deploying them to the web

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Bridge the gap between developer and data scientist by creating a modern open-source, Python-based toolset that works with Jupyter Notebook, and PixieDust.

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Build, train, and deploy intelligent applications using Java libraries

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Implement decentralized blockchain applications to build scalable Dapps

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Learn a modern approach to data analysis using Python to harness the power of programming and AI across your data. Detailed case studies bring this modern approach to life across visual data, social media, graph algorithms, and time series analysis.

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Create succinct and expressive implementations with functional programming in Python

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A hands-on guide to deep learning that's filled with intuitive explanations and engaging practical examples

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Choose the smarter way to learn about containerizing your applications and running them in production.

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Write code that scales across CPU registers, multi-core, and machine clusters

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• Explore concurrent programming in C++
• Identify memory management problems
• Use SIMD and STL containers for performance improvement