Agent-Oriented Architecture
Design agentic systems built from stable, specialized components
Design agentic systems built from stable, specialized components
Building Software that solves the hard problems.
Session 16 coming up
Session 2 coming up
Building end-to-end data engineering solutions
Session 14 coming up
Fundamentals of Large Language Models Bootcamp: A practical guide to modern AI Systems
Walk the CCDV-F exam blueprint, drill practice questions across all domains, and leave with a personal study plan
Build, govern, and automate your data platform
Learn to use the official MCP SDKs for Python, Java, and Node.js
Get hands-on with compute, storage, and databases
Session 4 coming up
Deliver fast and stay safe
Unlock the Potential of AI-Driven Coding
Essential prompting techniques to accelerate project success
Architecture, deployment, and proactive automation
Using frameworks, MCP, and RAG for agentic AI
Unlocking truth with data
Use AI as a collaborative tool to turn requirements into enterprise solutions
Decode the five exam domains, drill the six official production scenarios with sample questions, and leave with a targeted study plan
Explore reusable solutions to common problems—including AI
Hands-on with LLMs, prompts, APIs, and tools like OpenAI and Claude
Give agents the capability to see, click, and act safely on the web
Getting started with modern software development
Proven techniques for confident communication
Protecting data in LLMs, RAG, and AI agents
Overcoming service and data granularity challenges
Best practices for microservice-style architectures
Using AI agents for safer Linux workflows
How shell commands power agentic AI workflows
Create and leverage AI agents using HTTP REST calls
Developing AI apps and agents on Azure
Build your own LLM agents
Session 4 coming up
Stop wasting time and focus on high-impact projects
Understand how to use Model Context Protocol to transform your interactions with AI
Managing orchestration, memory, and evaluation
Claude Code content, driven by conversation
OpenAI’s complete framework for real-world agents with compelling interfaces
Bots, identity attacks, and artificial intelligence threats
Delegate and automate multistep tasks and repeatable workflows
Empowering data-driven insights and proactive decision-making
Learn the basics of AWS and prepare for the exam
AI-empowered development with the fastest-growing coding agent
Best way to break into the cybersecurity field +AI
Principles and Practices for AI Stakeholders
Access ChatGPT, Claude, Gemini, and other AI tools in your Java programs
Developing smart applications using Azure AI services
Learn to design and build a useful agent Skill
Workload-aware model serving, latency, cost, and capacity planning for production GenAI
Using AI to find information you can trust
Patterns for running more than one agent without losing control
Build a prototype that can iteratively enhance its own reasoning and collaboration skills
10x more powerful analytics with reliable, traceable, and reproducible agentic workflows
Session 2 coming up
Build an AI reviewer your team will trust
A practical framework for sound judgment at work
Partnering with AI tools for functional and nonfunctional testing and automation
Learn how to best support, respond to, persuade, and inspire your team
Managing GPU workload scheduling to decrease infrastructure costs
Vulnerability discovery, AppSec, and AI-driven security operations
Build custom apps, automate workflows, and expand your AI toolkit
Reconnaissance, investigations, and research
Learn the inner-workings of the algorithm used by Claude and other LLMs
Evaluation, versioning, and rollout strategies
Build value, visibility, and next-level readiness
Build your career resilience and personal brand
Leveraging context in agentic systems
Intelligent database management using ChatGPT with Oracle 26ai and SELECT AI
Use ChatGPT, Gemini, and Copilot to create better outlines, scripts, and slides
Compile task-specific instructions and maintain explicit execution state
7 steps to creating an effective job search system
From one-off wins to repeatable AI solutions that save real time
Creating agents without sending data to the cloud
Gain knowledge of Azure cloud concepts and services
Harness the power of AI-assisted coding
Get the most out of BERT, Llama, and Mistral and tailor them to your needs
Hands-on exercises to build AI agents, fine-tune models, and foresee biases in AI systems
Automate project workflows and deliverables
Principles, tools, and essential skills
How to explain complex ideas simply
Learn the key differences and overlap between the big three cloud platforms
Build a real product with AI
Continual learning in token and representation space
Python that’s easy for humans and AI to read, organize, and improve
Transform complex information into engaging and understandable business narratives
Turn voice notes into scheduled days, meeting recordings into draft posts, and recurring prompts into a personal Skills toolkit that compounds across projects
Harnessing event-driven multi-agent architectures for complex workflows
Fine-tune embedding models and SLMs from agent memory traces
Delegate knowledge work, build reusable workflows, and automate recurring tasks
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