Deep Learning: Computer Vision, Python Machine Learning And Neural Networks

Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems

Algorithms: Computer Science Unveiled

AI Engineering: Building Applications with Foundation Models

Cryptography And Computer Science: Design Manual For Algorithms, Codes And Ciphers

Dataclysm: Who We Are (When We Think No One's Looking)

Power BI: Data Mastery Made Easy

AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence (OpenAI, ChatGPT, Bard, Generative AI, LLM, Palm 2)

Bioinformatics: Algorithms, Coding, Data Science And Biostatistics

Deciphering Data Architectures: Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh

Microservices: Novice To Ninja: Build, Design And Deploy Distributed Services

A Thousand Brains: A New Theory of Intelligence

Neural Network Programming: How To Create Modern AI Systems With Python, Tensorflow, And Keras

Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking

Big Data: Statistics, Data Mining, Analytics, And Pattern Learning

SMALL TEACHING ONLINE: The Learning Science Applied to Online Classes with Effective Strategies to Teach Anything to Anyone

Alan Turing: Breaking Boundaries in Science and Technology (The Life of the Father of Modern Computing From Cracking the Enigma during WWII)

Bughunting: A Four-Course Debugging Feast

Prompt Engineering for Generative AI: Future-Proof Inputs for Reliable AI Outputs

Azure DevOps Engineer: Exam AZ-400: Azure DevOps Engineer: Exam AZ-400 Designing and Implementing Microsoft DevOps Solutions