Handling Errors and Adding Logging for VMware Automation (PowerCLI & Python)
Learning Objectives Below is a PowerShell script that wraps key actions in error handling and logs…
Exporting and Visualizing VMware Reports with PowerCLI and Python
Learning Objectives # Print the first few rowsprint(df.head()) Automate export of VMware inventory and reports to…
The Ultimate 48 Laws of Power Prompt System
Introduction That’s why I built the Meta-Loader Prompt v4 for ChatGPT: a dynamic system that adapts…
Automating VM Lifecycle Actions and Snapshots with PowerCLI and Python
Learning Objectives # DisconnectDisconnect-VIServer -Server * -Confirm:$false Automate common VM lifecycle actions such as power on,…
PowerCLI and Python Fundamentals for vSphere Automation
Learning Objectives Now, use Python to call that script. Here’s a basic example: Understand the differences…
What Are PowerCLI and Python?
Set-PowerCLIConfiguration -InvalidCertificateAction Ignore -Scope Session VMware Repository on GitHub Step 1: Install PowerShellWindows 10/11 comes with…
7 layers of agentic AI – Governance Layer
Introduction if __name__ == “__main__”:# Example: Validate if a user action is allowed by enterprise policyinput_payload…
7 layers of agentic AI – Action Layer
Introduction @app.task(bind=True, max_retries=3)def execute_api_action(self, endpoint, payload):try:response = requests.post(endpoint, json=payload, timeout=10)response.raise_for_status()return {“status”: “success”, “response”: response.json()}except Exception as…
7 layers of agentic AI – Planning Layer
Introduction def notify_team(**kwargs):print(“Notifying team…”) What This Layer Is and Why It Matters Explore workflow planning and…
How to Build an AI Agent from Scratch with CrewAI and Clarifai
Introduction Run the agent, triggering the entire research and drafting process: What Sets AI Agents Apart?…
Building and Deploying a Custom MCP Server: A Practical Guide
Introduction Traditional API integrations often require building custom connections for every tool and every AI agent—resulting…
Beyond the Basics: Advanced Feature Scaling Techniques for Real-World Data
We will cover the following techniques, with step-by-step Python code for each: print(“Original Data:n”, X.ravel())print(“Robust Scaled:n”,…
15 Essential GitHub Repositories for Mastering AI Agents and MCP Integration
1. Learn AI and LLMs from Scratch Repo: coleam00/ai-agents-masterclassAll code and resources from the AI Agents…
Architecting the Foundation — LLM Function Calling and Toolchains
Introduction Function calling is the bridge between static LLMs and real-time agents. With tools like LangChain…
mkcert: Make Locally-Trusted Development Certificates on Linux
If you’ve ever tried to set up HTTPS locally for development, you’ve probably run into a…