Zero to Agent in 30 Minutes
Session 4 coming up
Session 4 coming up
Investigate and hunt organizational data on the Dark Web
Learn Excel Automation from Data to Dashboards
Master development techniques for building and optimizing AI apps and agents
A hands-on approach to safeguarding AI systems and managing vulnerabilities
Hacking your way through the CEH v12 exam
Up your programming game by learning how Python works
Understanding chronobiology and its link to your productivity
From embeddings to production-grade hybrid search for AI
Integrate AI and automation for innovation, risk mitigation, and measurable ROI
Turn time saved with AI into impactful business decisions
From theory to production with evaluations, prompting, RAG, and agents
Get started building an infrastructure for hosting GenAI on Kubernetes
Session 5 coming up
Use ChatGPT, Claude, and Perplexity to improve how you learn
Accelerate your path to AI product leadership
How to Get Paid to Hack for a Living + AI
Using, prompting, and building with GPT-5 from OpenAI
Eight transactional saga patterns and their trade-offs
From vibe coding to verifiable, production-grade AI development
Crafting content with generative AI
Build a real assistant across tools, channels, and devices
Claude Code content, driven by conversation
Python programming for beginners
Protect agents, tools, memory, and AI supply chains
Using frameworks, MCP, and RAG for agentic AI
Best way to break into the cybersecurity field +AI
Principles, tools, and essential skills
Automate project workflows and deliverables
自分を動かし人を動かす「魅せる」「伝える」「動かす」テクニック
Build Intelligent Agents from Existing APIs
Learn to develop, test, and deploy AI agents with Azure services
Build and deploy a real-time voice agent in 2 hours
Implement pipelines while managing performance, cost, and scalability
How to build AI agents using LangChain
Mastering the fundamentals of organizational security
Develop intelligent agents with Bedrock, AgentCore, and Strands Agents
Build a complete multinode cluster with GPU passthrough using OpenTofu and Talos Linux
Build your own LLM agents
Overcoming service and data granularity challenges
Financial functions, lookups, conditional formatting, and forecasts
Essential skills for managing and leading people
Managing orchestration, memory, and evaluation
Understand GPU computing, distributed workloads, and efficiency
Learn the essentials of configuration as code
Partnering with AI tools for functional and nonfunctional testing and automation
Understanding the power and complexity of microservice architectures
Use Claude and Claude Cowork to help you set goals, delegate, coach, and give feedback
Stop wasting time and focus on high-impact projects
Use ChatGPT, Gemini, and Copilot to create better outlines, scripts, and slides
Build your career resilience and personal brand
Selecting the best solution for your system
Build machine learning algorithms from scratch with Python
Work smarter with generative AI in Word, Excel, PowerPoint, Outlook, and Teams
Learn how to think strategically, manage stakeholder expectations, and make critical architectural decisions
Master Kubernetes in 3 days and gain the confidence to take on the CKAD exam
Use the MITRE ATLAS framework
Design, connect, and deploy multistep automations
Get hands-on with compute, storage, and data
Extend your AI coding assistant with custom automation
Concrete patterns and anti-patterns for successful communication
Learn to use the official MCP SDKs for Python, Java, and Node.js
From curiosity to confidence—explore data, uncover patterns, and create impact with Python and generative AI
Go beyond the prompt to manage autonomous agentic systems
Practical tips and best practices
Getting the most out of your database
Build, test, and refine AI agents using Pydantic AI
Gain knowledge of Azure cloud concepts and services
Automate Real-World Tasks with AI Agents, LLMs, and No-Code Workflows
Generating code and troubleshooting with LLMs
Design and build production-ready agentic infrastructure
Operational confidence on AWS
Strategies for working with code using Claude, Cursor, or any other AI coding assistant
Get started with terms, architecture, containers, microservices, pods, and common resources
Build, optimize, and deploy RAG applications for production
Help guide your agents to build properly architected code
Learn how to superchargeyour search results with language models, using sentence transformers, optimized retrieval, rank fusion and re-rankers
Key concepts and practices for delivering exceptional IT service management
Implement RAG with LlamaIndex
Getting started with modern software development
Unlocking insights from complex modern data with generative AI
Understand generative AI applications, benefits, and risks
Writing safe, simple, and efficient code
Improve your search, optimize your resume, and practice for the interview
Pytest and AI-generated tests
Enhance Your Enterprise Java Skills for More Powerful Server-side Systems
Build memory-rich AI agents with graph-based retrieval, temporal memory, and tool orchestration
Get ready for the exam with hands-on exercises
How and when to use LLMs for thinking and reasoning
Get hands-on with compute, storage, and databases
A comprehensive overview of the exam
Learn better and faster using mental models
Simple steps for sharing your concerns and influencing decisions
Design reliable LLM systems as end-to-end pipelines
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