Hands-On AI Tools and Agent Skills
From augmenting research to building a personal assistant for increased productivity
From augmenting research to building a personal assistant for increased productivity
Use AI to eliminate repetitive work in Power BI
Deploy, Customize, and Harden AI Agents on AWS
From vocabulary to documentation and testing
Build reusable workflows in Claude and the Claude for Excel add-in
Build a real product with AI
Cutting Through Hype to Make Confident Decisions for AI Adoption
Learn to create, train, and safely deploy autonomous agents
Learn how to prevent downtime, identify problems quickly, and maintain reliable systems
An example-driven approach to reduce maintenance costs and complexity of software
From mind maps to automated Zettelkasten
Tools and Frameworks to navigate GenAI throughout the product lifecyle
Expert generalist foundations
Achieve practical math proficiency using Python
How to handle data in an increasingly distributed world
Multimodal, real-time, and secure agents for production
Build, evaluate, and deploy LLM applications with Mosaic AI
Building grounded and reliable AI applications with LLMs and knowledge graphs
Understanding the topology, rationale, and trade-offs
Understand the capabilities and use cases of AI tools
Connecting LLMs to real-world data through standardized interfaces
Gear Up to Ace the AWS Solutions Architect Associate Exam!
Learn how to best support, respond to, persuade, and inspire your team
Defining, Discovering, and Protecting Architecture
Connecting and hardening Linux systems
Fast path to understanding Snowflake fundamentals
Strengths, weaknesses, and deciding which agentic assistant is right for your work
Specifying Software Architecture for Humans and Agents
Accelerate your exam prep
From vibe coding to verifiable, production-grade AI development
Harness the power of AI-assisted coding
Get more done each day with the help of AI
Designing and deploying enterprise agentic systems
Getting started with modern software development
Practical offensive and defensive AI security operations
Solve complex problems using a proven framework
Understand generative AI applications, benefits, and risks
Running agents on Kubernetes
Exploring the pros and cons of the most popular AI coding tools
Learn the skills and confidence required to succeed
Manage and share projects faster and more easily than ever before
Build machine learning algorithms from scratch with Python
Advanced AI-assisted SaaS application development
Build systems that are adaptive, scalable, and collaborative
Understand how AI agents are shaping the future of work and how you can get started
Improve content creation, automate development tasks, and generate insightful data analysis
From causal questions to identifiable and robust estimation
Focus on the right things, deliver results, and outperform competitors
プロジェクト思考からプロダクト思考へ
Perform Any Task in the RHCSA Exam
Get the benefits of microservices without the headaches of distributed architectures
Essential prompting techniques to accelerate project success
Fine-tune and Run DeepSeek, QwQ and Other Open Reasoning Models on Your Hardware
In-depth and hands-on practice for acing the latest Terraform Associate exam (version 004)
Use ChatGPT, Claude, and Perplexity to improve how you learn
Build a real assistant across tools, channels, and devices
From identifying flaws to architecting new features
Effectively handle large model contexts for maximizing GenAI quality and performance
Visualizing and sharing impactful data insights
Develop custom AI assistants using GPT technology for real-world applications
Tips and Tricks for Technical and Business Writers
Master the 8 CISSP domains and learn how AI is reshaping cybersecurity
Design and build production-ready agentic infrastructure
Use architecture as code and other techniques to optimize AI implementation
From builder to planner + GenAI
From builder to strategist
Hands-on with Llama 3.2, Qwen 2.5 and Gemma 2
Unlock the Potential of AI-Driven Coding
Becoming effective as an enterprise architect
Use generative AI to automate the creation of unit tests for new and existing code
Context, research, problem framing, critical thinking, and refining
Using Claude, Copilot, and other AI tools to save time and work more efficiently
How to boost your productivity with generative AI
Design and build agentic workflow and deep research harnesses
Building adaptive RAG pipelines using AI agents
Develop AI cloud solutions on Azure
Using architecture quantum to analyze static, dynamic, and communication coupling
Walk the full CCDV-F exam blueprint, drill scenario-based practice questions across all eight domains, and leave with a personal study plan
Build a solid foundation for the exam with hands-on practice and concepts
Querying your local files privately with Llama 3
From SQL to agents
Python programming for beginners
Securing your data for a zero trust environment
Reduce interruptions and build a practical deep-work plan
From problem to production
Building a resilient defense to manage and reduce your risk
Decode the five CCAR-F exam domains, drill the six official production scenarios with real sample questions, and leave with a targeted study plan — in two hours
Claude Code content, driven by conversation
Taking your first steps as a Linux admin
Hacking your way through the CEH v12 exam
Prevent leakage, loss, contamination, and other data risks in GenAI systems
Create effective charts and dashboards using Copilot, Claude, ChatGPT, and other generative AI tools
Safeguard the next generation of AI agents
Decode the seven CCAR-P exam domains, drill official-style questions on RAG, integration, and governance trade-offs, and leave with a targeted study plan
Design decisions that help (or hinder) your AI-assisted engineering
Design experiments to measure GenAI features at scale
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