An introduction to project management, Agile principles, and Scrum terminology.
Use Claude for everyday business tasks, improve its responses, and choose suitable products and models responsibly.
Explore Claude application architecture, agent orchestration, context management, and reliable integrations using Anthropic’s development tools.
Develop an architectural understanding of enterprise Claude deployments, integration decisions, optimization, governance, and responsible adoption.
Explore building Claude applications and agents with the API, Claude Code, custom tools, and MCP servers.
Explore practical uses of generative AI to improve workplace strategy, creative tasks, and recurring everyday work.
Build core skills for giving AI clear instructions and reviewing its responses.
Turn recurring tasks into repeatable AI workflows with deliberate review points.
Learn to direct structured agent work with clear outcomes, boundaries, and review.
Explore computing, software, networking, databases, and security through the foundational ITF+ subject areas.
Build foundational IT support knowledge across devices, operating systems, troubleshooting, backups, networking, and security.
Study wired, wireless, and cloud networking, including configuration, security, operations, and troubleshooting.
Understand AWS cloud concepts, core services, security responsibilities, pricing, and support options.
Study how to design secure, resilient AWS solutions while balancing performance, cost, and business requirements.
Learn cloud fundamentals, core Azure services, and the tools used to manage, secure, and govern Azure environments.
Connect Google Cloud services to business goals through digital transformation, data, AI, infrastructure, security, and operations.
Understand AI, machine learning, and generative AI use cases on AWS, including responsible use, security, and governance.
Explore the legacy AI-900 topics: machine learning, vision, language, generative AI, and responsible use. The AI-900 exam has retired.
Explore Databricks and lakehouse concepts, with an introduction to data engineering, analytics, and generative AI.
Explore foundational data engineering on Databricks, from ingesting and transforming data to orchestrating and maintaining workloads.
Study AWS data pipelines, storage choices, data quality, operations, and governance for reliable data engineering.
Build core cybersecurity knowledge in threats, vulnerabilities, access control, data protection, and risk management.
Explore authorized penetration testing, from planning and reconnaissance to vulnerability assessment, reporting, and remediation guidance.
Ethical hacking: scanning, exploitation, web/wireless, and countermeasures.
