New live online training courses

Get hands-on training in deep learning, AI applications, business strategies, Python, data analysis, and many other topics.
Learn new topics and refine your skills with more than 180 new live online training courses we opened up for August and September on the O'Reilly online learning platform.
AI and machine learning
Introduction to AI on Google Cloud, August 28
Robotics 2.0, August 28
Debugging and Optimizing Convolutional Neural Networks with Keras, September 5
Fundamentals of Machine Learning and Data Analytics, September 5-6
Fundamentals of Machine Learning with AWS, September 10
Introduction to Reinforcement Learning, September 11
Probabilistic Modeling with TensorFlow Probability, September 16
Graphs and Network Algorithms from Scratch, September 16
Artificial intelligence: An Overview of AI and Machine Learning, September 17
Machine Learning from Scratch, September 18
Deep Learning Fundamentals, September 18
TensorFlow Extended: Model Build, Analysis, and Serving, September 19
Hands-On Deep Neural Networks with PyTorch, September 19
Getting Started with Machine Learning, September 23
Getting Started with Tensorflow.js, September 23
Building Machine Learning Models with AWS Sagemaker, September 23
Automated Machine Learning for Hyperparameter Optimization and Algorithm Selection, September 24
Deep Learning with TensorFlow, September 25
Deep Learning from Scratch, September 30
Machine Learning for Business Analytics: A Deep Dive into Data with Python, October 3
Deploying Machine Learning Models to Production: A Toolkit for Real-World Success, October 15-16
Real-Time Streaming Analytics and Algorithms for AI Applications, October 16
Blockchain
Introducing Blockchain, September 23
Business
Unlocking Agility: 7 Signs Your Company is Becoming More Agile, August 12
Product Management in 90 minutes, August 15
60 Minutes to Better Email , August 19
60 Minutes to a Better Daily Scrum, August 26
Building the Skills to Succeed as a Remote Worker in 90 Minutes, August 27
60 Minute Introduction to Hypothesis-Driven Software Development, August 28
Fundamentals of Financial Decision-Making, September 3
Building a Case to Start Working Remotely in 90 Minutes, September 3
Incident Management, September 3
Introduction to Quantitative Financial Risk Management with R, September 6
Fundamentals of Management, September 12
Quantitative Trading with Python, September 16
60 Minutes to Better Product Metrics, September 16
Better Business Writing, September 17
Unlock Your Potential, September 17
Competing with Business Strategy, September 19
Giving a Powerful Presentation, September 19
Building Intelligent Analytics Through Time Series Data, September 20
How the Internet Really Works, September 20
Performance goals for growth, September 24
Introduction to Critical Thinking, September 24
Spotlight on Learning from Failure: Setting Objectives Matters with Josh Seiden, September 24
Negotiation Fundamentals, September 25
Emotional Intelligence in the Workplace, September 25
Managing a Toxic Work Environment, September 25
Introduction to Time Management Skills, September 26
90 Minutes to Better Decision-Making, September 27
Getting Unstuck, October 1
Core Agile, October 2
Fundamentals of Learning: Learn Faster and Better Using Neuroscience, October 3
Building the Courage to Take Risks, October 3
How to Give Great Presentations, October 8
How to Be a Better Mentor, October 8
Managing Stress, October 8
Introduction to Leadership Skills, October 10
Empathy at Work, October 15
Managing Team Conflict, October 15
Product Management in 90 minutes, October 15
Business Fundamentals, October 15
Building Your LinkedIn Network, October 16
60 Minutes to Better User Stories and Backlog Management, October 16
Unlock Your Potential , October 17
60 Minutes to Better Email, October 17
Data science and data tools
Data Visualization with Matplotlib and Seaborn, August 9
Introduction to DAX Using Power BI, September 6
Linear Regression with Python: Essential Math for Data Science, September 9
Probability with Python: Essential Math for Data Science, September 12
Foundational Python for Data Science, September 17
Programming with Data: Advanced Python and Pandas, September 17
Statistics and Hypothesis Testing with Python: Essential Math for Data Science, September 18
Inferential Statistics Using R, September 18
Bridging the Gap from Excel to SQL, September 18
SQL Data Wrangling for Excel Users, September 20
Beginner’s Guide to Writing AWS Lambda Functions in Python, September 24
SQL-Powered Excel for Business Analytics, September 25
Debugging Data Science, September 26
Data-Driven Fundamentals of Google Analytics, September 26
R-Powered Excel for Business Analytics, September 27
Intermediate SQL for Data Analysis, September 30
First Steps in Data Analysis, September 30
Data Engineering for Data Scientists, October 1
Intro to Mathematical Optimization, October 7
Introduction to Algorithms and Data Structures, October 9
Algorithmic Risk Management in Trading and Investing, October 10
Visualization and Presentation of Data, October 15
SQL Fundamentals for Data, October 15-16
Introduction to Statistics for Data Analysis with Python, October 16
Programming
Data Structures in Java, August 30
Programming with Java Lambdas and Streams, September 3
Python Data Handling—a Deeper Dive, September 4
Advanced Test-Driven Development (TDD), September 5
SQL for Any IT Professional, September 10
Java Full Throttle with Paul Deitel: A One-Day, Code-Intensive Java Standard Edition Presentation , September 10
Scale Your Python Processing with Dask, September 11
What's New in Java, September 16
Python Full Throttle with Paul Deitel, September 16
Software Development and UX, September 17
Next-Generation Java Testing with JUnit 5, September 17
Design Patterns in Java, September 17-18
Java Testing with Mockito and the Hamcrest Matchers, September 18
Advanced React.js, September 18
Scala Fundamentals: From Core Concepts to Real Code in 5 Hours, September 19
Introduction to the Go Programming Language, September 20
Rust Crash Course: Learn Enough to Get Over the Hump, September 23
Interactive Visualization Approaches in Jupyter Notebooks, September 23
Modern Java Exception Handling, September 23
Clean Code, September 23
Kotlin Fundamentals, September 24
Java 8 Generics in 3 Hours, September 24
Design Patterns with TypeScript, September 25
Creating Angular Applications with GraphQL, September 25
Introduction to Python Programming, September 30
Learning Python 3 by Example, September 30
Getting Started with Spring and Spring Boot, October 7-8
Security
Ethical Hacking Bootcamp with Hands-on Labs, September 4-6
Getting Started with Cyber Investigations and Digital Forensics, September 6
Intense Introduction to Hacking Web Applications, September 11
CompTIA Security+ SY0-501 Crash Course, September 11-12
Introduction to Encryption, September 17
Privacy Practices for Cybersecurity Professionals, September 26
Introduction to Digital Forensics and Incident Response (DFIR), September 27
Defensive Cybersecurity Fundamentals, October 15
Systems engineering and operations
Take Terraform to the Next Level, August 8
Red Hat Certified Engineer (RHCE) EX294 Crash Course: Red Hat Ansible Automation, September 3-6
Container Revolution, September 4
Network DevOps, September 5
Introduction to Jenkins for DevOps, September 5
Amazon Web Services (AWS) Security Crash Course, September 5
Building Applications with Apache Cassandra, September 6
Linux Under the Hood, September 9
Getting Started: Microsoft Certified Azure Administrator, September 9
Getting Started with Amazon Web Services (AWS), September 9-10
Essential Machine Learning and Exploratory Data Analysis with Python and Jupyter Notebook, September 9-10
Exam AZ-103: Microsoft Azure Administrator Crash Course, September 9-10
DevOps on Google Cloud Platform (GCP), September 10
Learn Linux in 3 Hours, September 10
Microservices Architecture and Design, September 10-11
Building APIs with Django REST Framework, September 11
AWS Certified Solutions Architect Associate Exam Crash Course, September 11-12
Getting Started With Jenkins X, September 12
Getting Started with Cloud Computing, September 13
Software Architecture by Example, September 16
Introduction to Docker CI/CD, September 16
Getting Started with OpenShift, September 16
IP Subnetting from Beginning to Mastery, September 16-17
AWS Machine Learning Specialty Certification Crash Course, September 16-17
Software Architecture Foundations: Characteristics and Tradeoffs, September 17
Practical Linux Command Line for Data Engineers and Analysts, September 17
Exam AZ-300: Microsoft Azure Architect Technologies Crash Course, September 17-18
CompTIA Linux+ Certification Crash Course, September 18-19
Amazon Web Services: AWS Managed Services, September 18-19
AWS Certified Developer Associate Crash Course, September 18-19
Introduction to Docker Images, September 19
AWS Security Fundamentals, September 19
Building a Cloud Roadmap, September 19
Kubernetes in 4 Hours, September 20
Managing Containers on Linux, September 23
Introduction to Kubernetes, September 23-24
Microservice Decomposition Patterns, September 24
Docker for JVM Projects, September 24
Apache Hadoop, Spark, and Big Data Foundations, September 24
AWS Certified SysOps Administrator (Associate) Crash Course, September 25-26
Windows 10 Crash Course (Exam MD-100, September 25-26
Analyzing Software Architecture, September 26
Certified Kubernetes Application Developer (CKAD) Crash Course, September 26-27
Building Micro-Frontends, September 30
Automating Architectural Governance, September 30
Exam AZ-301: Microsoft Azure Architect Design Crash Course, October 1-2
Building and Managing Kubernetes Applications, October 3
Docker: Beyond the Basics (CI & CD), October 7-8
Amazon Web Services (AWS) Technical Essentials, October 10
Designing Serverless Architecture with AWS Lambda, October 15-16
Azure Cognitive Services, October 16
Microservice Fundamentals, October 16
Building Simple Serverless Applications with Azure Functions, October 17
Microservice Collaboration, October 17
AWS Design Fundamentals, October 17-18
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