New live online training courses


Student
Student

(source: Pixabay)

Learn new topics and refine your skills with more than 165 new live online training courses we opened up for September and October on the O’Reilly online learning platform.

AI and machine learning

Machine Learning with the Tidyverse in R, September 19

Deep Learning with PyTorch, October 1

Deploy Machine Learning Projects in Production with Open Standard Models, October 1

Building AI & ML Applications on Google Cloud Platform, October 2

Introduction to TensorFlow 2.0, October 7

Deep Learning for Natural Language Processing (NLP), October 9

Hands-on adversarial machine learning, October 22

Introduction to AI on Google Cloud, October 29

Intermediate Natural Language Processing (NLP), October 29

A Practical Introduction to Machine Learning, October 30

Hands-on Machine Learning with Python: Classification and Regression, October 30

Introducing Machine Learning with Amazon SageMaker, October 30

Hands-on Machine Learning with Python: Clustering, Dimension Reduction, and Time Series Analysis, October 31

Artificial Intelligence: AI For Business, November 5

Fundamentals of AI Algorithms in 90 minutes, November 20

Blockchain

Blockchain and Cryptocurrency Essentials, October 28

Business

Business Applications of Blockchain, October 4

Introduction to Strategic Thinking Skills, October 9

Spotlight on Innovation: Blockchain for Intellectual Property with Saga Arvidsdotter, October 9

Foundations of Microsoft Excel, October 16

Spotlight on Cloud: DevSecOps Lessons Learned with Zane Lackey, October 16

Introduction to Delegation Skills, October 22

Agile for Everybody, October 22

Salary negotiation fundamentals, October 23

Applying critical thinking, October 23

Why Smart Leaders Fail, October 23

Building the Skills to Succeed as a Remote Worker in 90 Minutes, October 23

Managing your Manager, October 24

Business data analytics using Python, October 24

60 Minutes to a Better Daily Scrum, October 29

Succeeding with Project Management, October 29

Scrum Master: Good to Great, October 30

Building your people network, October 30

Developing your coaching skills, October 31

60 Minutes to Designing a Better PowerPoint Slide, October 31

Text Analysis for Business Analytics with Python, October 31

Building a case to start working remotely in 90 minutes, November 5

Fundamentals of Financial Decision-Making, November 5

60 Minutes to better product metrics, November 6

Incident Management, November 6

Leadership Communication Skills for Managers, November 7

Fundamentals of Management, November 11

Mastering Microsoft Excel Pivot Tables, November 11

Developing Resilience to Stress, November 12

Writing User Stories, November 13

Unlock your Potential, November 13

Adaptive project management, November 14

Quantitative trading with Python, November 14

SQL-Powered Excel for Business Analytics, November 14

Leading Innovative Teams, November 14

Data science and data tools

Text Mining and Sentiment Analysis in R, September 27

Python-Powered Spreadsheets Beyond the Basics, October 1

IoT Fundamentals, October 1-2

Facebook Libra, October 2

Cleaning Data at Scale, October 14

Accelerate and Migrate Your Data Science to GPU with RAPIDS, October 14

Time Series Data Processing and Modeling, October 14

Scalable Data Science with Apache Hadoop and Spark, October 14

Managing Data in a Multi-Cloud World, October 14

Causal Inference in Data Science, October 17

Python Data Science Full Throttle with Paul Deitel: Introductory Artificial Intelligence (AI), Big Data and Cloud Case Studies, October 22

Visualization in Python with Matplotlib, October 30

Linear Algebra with Python: Essential Math for Data Science, November 4

Linear Regression with Python: Essential Math for Data Science, November 13

Programming

Beginning R Programming, September 18

Reactive Spring Boot, October 1

Bash Shell Scripting in 4 Hours, October 2

Certified Ethical Hacker (CEH) Crash Course, October 2-3

Next Steps in Data Analysis with R: Revealing the logic and strengths of R for working with data, October 3

Advanced Javascript, October 7

Hands-on Introduction to Apache Hadoop and Spark Programming, October 7-8

Getting Started with PostgreSQL, October 8

Solving Java Memory Leaks, October 9

Statistical Literacy: Linear Models as a Unifying Concept (using R), October 10

Solidity Programming Fundamentals for Ethereum Applications, October 14

Mastering the basics of relational SQL querying, October 14-15

Python Full Throttle with Paul Deitel, October 15

Getting Started with Pandas, October 15

Getting Started with Python 3, October 15-16

Mastering Pandas, October 16

Learning Regular Expressions, October 18

Functional Programming in Java, October 21-22

Design Patterns Boot Camp, October 22-23

Testing Vue.js Applications, October 23

Introduction to the Bash Shell, October 23

Applied Cryptography with Python, October 24

Getting Started with SQL Server, October 24

Practical Linux Command Line for Data Engineers and Analysts, October 28

Applied Probability Theory from Scratch, October 30

Python-Powered Excel, November 4

Hands-On Algorithmic Trading With Python, November 5

Learn the Basics of Scala in 3 hours, November 5

Introduction to Quantitative Financial Risk Management with R, November 7

What’s New in Java, November 11

Getting Started with Python 3, November 12-13

Inferential Statistics using R, November 13

Mastering Python’s pytest, November 13

Next-generation Java testing with JUnit 5, November 14

Reactive Spring and Spring Boot, November 15

Security

Build Your Own Cybersecurity Lab and Cyber Range, September 30

CISSP Crash Course, October 2-3

Security Analytics with Snowflake, October 8

Getting Started with Cyber Investigations and Digital Forensics, October 14

Cyber Security Defense: Best Practices and Strategies for Current and Future Threats, October 18

Expert Transport Layer Security (TLS), October 22

Introduction to Ethical Hacking and Penetration Testing, October 22-23

Kubernetes Security: Attacking and Defending Kubernetes, November 4

Azure Security Fundamentals, November 6

Fraud Analytics using Python, November 7

Introduction to encryption, November 13

Systems engineering and operations

Rethinking REST: A hands-on guide to GraphQL and queryable APIs, September 24

Introduction to Docker Containers, September 30

Introducing Infrastructure as Code with Terraform, October 1

Ansible in 4 Hours, October 1

Automating with Ansible, October 1

AWS Certified Security – Specialty Crash Course, October 1-2

9 Steps to Awesome with Kubernetes, October 2

AWS Certified Cloud Practitioner Exam Crash Course, October 2-3

Linux Performance Optimization, October 4

Deploying Container-Based Microservices on AWS, October 7-8

Red Hat Certified System Administrator (RHCSA) Crash Course, October 7-10

Take Terraform to the Next Level, October 8

Managing Cloud Costs: How to apply FinOps strategies to decrease your cloud spend, October 8

Getting Started with Serverless Architectures on Azure, October 8

Getting Started with Google Cloud Platform, October 9

AWS Certified Cloud Practitioner Exam Prep, October 9

Continuous Compliance on AWS, October 9

From developer to software architect, October 9-10

Practical Software Design from Problem to Solution, October 11

Essentials of JVM Threading, October 14

Hands-on Introduction to OAuth 2.0, October 14

Software Architecture by Example, October 16

ASP.NET Core 3.0, Web API and EF Core Fundamentals, October 17

AWS Certified Solutions Architect Associate Crash Course, October 17-18

AWS Certified Big Data – Specialty Crash Course, October 17-18

Linux Fundamentals Bootcamp, October 17-18

Linux, Python, and Bash Scripting for Cybersecurity Professionals, October 18

Network Troubleshooting: Basic Theory and Process, October 18

Software Architecture Foundations: Characteristics and Tradeoffs, October 21

Docker: Up and Running, October 21-22

Ansible for Managing Network Devices, October 23

Architecture for continuous delivery, October 24

AWS core architecture concepts, October 24-25

Getting Started with OpenShift, October 25

Kubernetes in 4 Hours, October 25

AWS Account Setup Best Practices, October 28

Intermediate Git, October 28

Continuous Delivery and Tooling in Go, October 28

Developing Incremental Architecture, October 28-29

Implementing Evolutionary Architectures, October 28-29

Web Performance in Practice, October 29

60 minutes Introduction to Hypothesis Driven Software Development, October 29

Introduction to Google Cloud Platform, October 30-31

Google Cloud Platform Professional Cloud Architect Certification Crash Course, October 30-31

Introduction to Docker Compose, November 4

Getting Started: Microsoft Certified Azure Administrator, November 5

Comparing Service-Based Architectures, November 6

Implementing Infrastructure as Code, November 7

Introduction to Docker CI/CD, November 11

Microservices Caching Strategies, November 11

Architecture Foundations: Styles, Patterns, & Tradeoffs, November 11

Hands-on Introduction to Software Testing, November 12

Introduction to Kubernetes, November 13-14

Next level Git: Master your content, November 14

Microservice Decomposition Patterns, November 14

Introduction to Docker Images, November 14

Getting Started With Jenkins X, November 14

Microservice Fundamentals, November 15

Article image: Student

(source: Pixabay).





Source link

READ ALSO  It 2 review: A convoluted but satisfying end
?
WP Twitter Auto Publish Powered By : XYZScripts.com