
Learn to build an AI assistant using Python, TensorFlow, and Google Colab for object classification. Covers neural networks, image processing, and hands-on demos for practical implementation.

Learn to integrate Bluetooth with Raspberry Pi Pico using MicroPython. Covers UART, serial communications, and Bluetooth modules for enhanced project connectivity and control.

Learn to use MPU9250 sensor with Raspberry Pi Pico and MicroPython for robot positioning. Covers sensor functionality, calibration, data processing, and practical implementation with code examples.

Learn to integrate SSD1306 displays with Raspberry Pi Pico using MicroPython. Covers display basics, frame buffers, bit depth, animation, image conversion, and practical demonstrations.

Learn to create your own AI assistant using Python and Raspberry Pi. Covers architecture, hardware/software setup, and implementation of key features like speech recognition and natural language processing.

Learn to analyze Wi-Fi wardriving data using Google Colab. Explore captured data, detect access points, and gain insights into wireless device mapping with this hands-on tutorial led by security researcher Alex Lynd.

Optimize Stable Diffusion performance with XFormers: Learn to install and implement this efficiency-boosting library, achieving 1.5x faster processing on 4GB RAM systems.

Learn to run stable diffusion in Krita without coding. Step-by-step guide covers installation, setup, and basic image generation using this powerful AI art tool on your local machine.

Learn to build ChatGPT plugins in Python using OpenAI's template. Covers setup, deployment, and integration with ChatGPT, focusing on a retrieval plugin for LangChain documentation.

Explore eBPF's revolutionary approach to gRPC observability in Kubernetes, overcoming monitoring challenges for compressed and encrypted protocols. Gain insights and tools for advanced container communication tracing.

Explore the evolution of vulnerabilities in popular container images, understand security challenges, and learn practical steps to manage and prevent issues in your development process.

Learn to build a Kubernetes admission controller from scratch, exploring fundamentals, installation, and Python implementation. Gain hands-on experience in enhancing cluster security and policy enforcement.

Learn to deploy Python applications on Kubernetes with best practices for production environments, covering containerization, orchestration, and scalability.

Learn to implement automated distributed tracing in Kubernetes using a custom operator. Explore advanced techniques for injecting OpenTelemetry, mutating webhooks, and resource management across multiple languages.

Explore 6 mechanisms for connecting peripherals to Zephyr and Linux hosts, comparing Arduino, Micropython, and native drivers to enhance IoT development with standardized interfaces and over-the-air updates.

Explore ALPC-RPC in Windows, including core structures, API, and vulnerability research. Learn about UAC bypass and Local Privilege Escalation discovered during the investigation.

Enhance CI/CD workflows for cloud-native Python apps using PyPI Cloud, optimizing deployment and streamlining package management for improved efficiency and scalability.

Explore model-driven SDKs for efficient network device automation. Learn about data models, protocols, and practical Python examples to streamline your networking workflows.

Explore Docker's potential for developing and deploying scalable predictive modeling applications, from local development to production-ready Digital Twins on Kubernetes.

Learn to containerize Python scripts and web apps using Docker, including virtual environment dockerization for beginners. Hands-on examples with a Python script and Flask application.

Live stream demonstrating microservices development using Python, Node.js, and Docker Compose. Learn to integrate multiple services for efficient local development and deployment.