Pluralsight

ACM's custom Pluralsight collection includes more than 2,000 popular courses, labs, and paths covering the most in-demand topics in technology, including Software Development, Machine Learning & AI, Data, Cloud Computing, IT Ops, and more.

In addition to standalone courses, ACM's Pluralsight platform offers:

  • Skill assessments (including Skill IQ)
  • Learning Paths curated by experts
  • Certification tracks, including Guides and Exam Prep

Courses levels span Beginner, Intermediate, and Advanced skills and include Learning Paths and exam preparation tracks for some of today's hottest certifications, including AWS, Microsoft Azure, and Google Cloud Platform (GCP); Kubernetes, Tableau, and more.

Important: New Courses, Labs, and Learning Paths Available in Pluralsight

Beginning May 2025, the following courses, labs, and learning paths are available to ACM members through our custom Pluralsight collection:

Paths

  1. Advanced Kubernetes Administration Topics
  2. Agentic LLMs for Developers
  3. AI-based Threat Detection
  4. AIOps Specialist
  5. Amazon Bedrock Deep Dive
  6. Amazon Q for Developers
  7. Amazon Redshift
  8. Apache Spark for Data Scientists
  9. ASP.NET Core Web API
  10. AWS Certified Data Engineer - Associate (DEA-C01)
  11. AZ-204 Developing Solutions for Microsoft Azure
  12. Big Data with PySpark
  13. Building Data Solutions in Microsoft Fabric
  14. Building Deep Learning Solutions with PyTorch
  15. CISSP® (Certified Information Systems Security Professional) Exam
  16. Cloud Engineer Learning Path
  17. Data Literacy
  18. Data Orchestration and Workflow Management with Apache Airflow
  19. Data Show and Tell
  20. Databricks Essentials
  21. Docker
  22. Docker Fundamentals for Developers
  23. Domain-Driven Design
  24. Ethical Hacking (C|EH Prep)
  25. Ethical Hacking with Kali Linux
  26. Gemini in BigQuery
  27. Generative AI Foundations
  28. GitHub Administration
  29. Go
  30. Grafana
  31. Implementing Analytics Solutions Using Microsoft Fabric (DP-600)
  32. Introduction to SQL
  33. Jenkins
  34. Large Language Models (LLM)
  35. Machine Learning Engineer Learning Path
  36. Microsoft Certified: Azure Administrator Associate (AZ-104)
  37. Microsoft Certified: Azure AI Engineer Associate (AI-102)
  38. Microsoft Certified: Azure AI Fundamentals (AI-900)
  39. Microsoft Cybersecurity Architect (SC-100)
  40. Microsoft Power Platform Fundamentals (PL-900)
  41. Observability and Monitoring Tools and Techniques
  42. PHP
  43. Python for Cyber Defense
  44. Python for Cyber Offense
  45. RHEL 9 Administration
  46. Security Architecture and Engineering Tools
  47. Selenium
  48. Snowflake for Data Analysts
  49. Startup Cloud Engineer Learning
  50. Typescript
  51. Web App Pen Testing
  52. Web3
  53. Windows PowerShell Essentials (2023)
  54. Zero Trust Security (ZTS)
 
Courses
  1. .NET MAUI Fundamentals
  2. AI-powered Python Applications: Using Agentic Frameworks
  3. AIOps: Observability and Explainability for Production Models
  4. Android with Kotlin: Fundamentals
  5. Apache Spark 3 Fundamentals
  6. API Testing Strategies
  7. AZ-305: Designing Microsoft Azure Infrastructure Solutions
  8. Azure AI Engineer Associate (AI-102): Generative AI Solutions
  9. Building AI-enabled .NET Applications
  10. Building Scalable Java Microservices with Spring Boot and Spring Cloud
  11. Datadog Fundamentals
  12. Developing Generative AI Applications with Python and Open AI
  13. EF Core Fundamentals
  14. FastAPI Foundations
  15. Getting Started with Jenkins
  16. GitLab 16 Fundamentals
  17. Implementing Continuous Integration and Delivery with Azure DevOps: Azure Pipelines
  18. Infrastructure as Code on Azure Deep Dive
  19. Introduction to Project Management & the PMP® Exam
  20. Microservices Architectural Design Patterns Playbook
  21. Microsoft Certified: Azure Administrator Associate (AZ-104): Exam Preparation
  22. Scrum Development with Jira & Jira Agile
  23. Terraform Concepts for Cloud
 
Labs
  1. Anomaly Detection in Network Traffic
  2. Apply OCR to Search Scanned Documents in Azure AI Search
  3. Applying AI to Speech Data
  4. Applying AI to Text Data
  5. Basic Data Manipulation with PySpark
  6. Build a Containerized Application with Docker
  7. Build a Multi-Container Application with Docker
  8. Build an Azure DevOps Pipeline for Terraform
  9. Building a Serverless Application Using Step Functions, API Gateway, Lambda, and S3 in AWS
  10. Chatting with a Bot Using Azure Cognitive Services for Language
  11. Configuring Jenkins for CI/CD
  12. Create a Basic Power BI Report
  13. Create and Configure VNet Peering in Azure
  14. Create and Connect to an EC2 Instance
  15. Creating a Data Pipeline in Azure Data Factory
  16. Creating a Simple AWS Lambda Function
  17. Creating an Azure Storage Account and Blob Container
  18. Creating an Azure Storage Account and File Share
  19. Creating an Event-driven Serverless Function with AWS Lambda
  20. Creating an S3 Storage Lifecycle
  21. Creating and Assuming an Administrator AWS IAM Role
  22. Deploy a Simple Web Application with Kubernetes
  23. Deploy an Azure Infrastructure Solution to Meet Business Requirements
  24. Deploying a Serverless Application Using AWS Lambda, API Gateway, and DynamoDB
  25. Deploying and Running Your First Azure Virtual Machine
  26. Deploying Logistic Regression Algorithms
  27. DevOps Troubleshooting: Using Monitoring and Logging
  28. Docker Hands-on Sandbox
  29. Guided: Build a Real-time Dashboard with Node.js and MongoDB
  30. Guided: Building an AI-powered API with Python and LangChain
  31. Guided: Debugging in Python
  32. Guided: Java Logging API
  33. Guided: Performance Testing
  34. Guided: Playwright Foundations with C#
  35. Implement Defense in Depth on Azure
  36. Ingesting Data Using AWS Glue
  37. Install and Configure Kubernetes
  38. Introduction to AWS Identity and Access Management (IAM)
  39. Introduction to Decision Trees
  40. Introduction to Machine Learning
  41. Investigate Windows Security Events with Microsoft Sentinel
  42. Kubernetes Hands-on Sandbox
  43. Launch an EC2 Instance in a Virtual Private Cloud (VPC)
  44. Logging In to GCP and Creating Your First VM
  45. Manage Docker Networking
  46. Orchestrating Lambda Functions Using AWS Step Functions
  47. Organizing Azure Resources with Customized Azure Portal and Cloud Shell
  48. Preparing Data Using Amazon Athena and AWS Glue
  49. Python Sandbox
  50. Scale a Deployment with Kubernetes
  51. Setting Up a CI/CD Pipeline
  52. SQL Fundamentals: Advanced SQL Optimizations
  53. SQL Fundamentals: SQL Functions and Procedures
  54. SQL Fundamentals: SQL Performance and Optimization
  55. SQL Fundamentals: Techniques for Joining Tables
  56. SQL Fundamentals: Writing Advanced Queries with Subqueries
  57. Ubuntu Linux Administration Hands-on Sandbox
  58. Understanding Azure Monitor Alerting
  59. Use Azure Data Studio to Perform 10 Fundamental SQL Queries in Azure
  60. Work with GitHub in Azure Data Factory