Technical Writing

Sharing insights, tutorials, and perspectives on machine learning and AI

Aug 202415 min read
Medium

Deploying a Google ADK Agent with Docker and Docker Compose

The article introduces deployment of ADK agents and apps using Docker and Docker Compose. This is important for machine learning engineers who want to containerize their ADK apps and deploy it on their own servers or other cloud services. ADK offers a simple and quick deployment to Cloud Run, but there is a lack of tutorials on deploying the agent any other way, which is why i wrote this article.

Read on Medium
Sep 202412 min read
Medium

Building an AI Logo Generator with Google's Agent Development Kit (ADK) — Implementing Image Upload & Generation Using ADK

In this Medium article, I detailed my process for building an AI logo generator using Google's Agent Development Kit (ADK), explicitly to demonstrate how to deal with image uploads and image generation. I explained how ADK simplifies complex AI workflows by treating agent development similarly to software development, which allowed me to create a complete system.

Read on Medium
Jul 2024Video
YouTube

(Artificial Intelligence and Our Next Life: The Silent Revolution That Changes Everything) الذكاء الاصطناعي وحياتنا القادمة: الثورة الصامتة التي تغيّر كل شيء

In a podcast discussion during I/O Connect Berlin, I had the opportunity to speak with Mezzi Houssem and Omar Gouda about the future of AI. The main topics discussed were: The future of AI and its impact on various jobs; whether it's necessary to learn programming languages to work with AI; the importance of AI literacy and English proficiency in the modern job market; and a motivational message about overcoming fear and taking the first step to create your own projects with AI.

Watch on YouTube
Jul 202414 min read
AnyAI

The Ultimate Guide to AI Image Generation: From DALL-E to Custom Models (2026 Edition)

This article traces the evolution of AI image generation from basic pattern recognition to modern, photorealistic creations by tools like DALL-E, Midjourney, and Stable Diffusion. It explains the underlying technology of these neural network-based tools and highlights their diverse applications across industries, including design, marketing, entertainment, and education.

Read on AnyAI
Jul 202412 min read
AnyAI

Specialized AI Applications: How Industry-Specific AI is Solving Real-World Problems in 2026

This article discusses how specialized AI applications are becoming the new frontier in various industries, outperforming general-purpose models with their deep domain expertise. It highlights their significance in providing higher accuracy, better performance, and regulatory compliance. The piece explores key applications in healthcare, legal, and finance, detailing development approaches like fine-tuning and custom model creation.

Read on AnyAI
Jun 202418 min read
AnyAI

AI for Beginners: Master Artificial Intelligence in 30 Days (Complete 2026 Learning Path)

This beginner's guide provides a comprehensive introduction to artificial intelligence, breaking down core concepts and providing a clear path for those new to the field. The article defines key AI components like machine learning, natural language processing, and computer vision, and explains the different types of machine learning, including supervised, unsupervised, and reinforcement learning.

Read on AnyAI
Jun 202410 min read
AnyAI

Machine Learning vs Deep Learning: The Ultimate Showdown (Which One Should You Learn First?)

This article clarifies the relationship and key differences between machine learning and deep learning, both of which are subsets of artificial intelligence. It explains that while machine learning uses traditional algorithms and often requires manual feature engineering on smaller datasets, deep learning uses multi-layered neural networks to automatically extract features from large datasets.

Read on AnyAI
Jun 202415 min read
AnyAI

AI in Healthcare: 5 Revolutionary Ways AI is Saving Lives and Transforming Patient Care in 2026

This article explores how AI is revolutionizing healthcare, emphasizing its role in augmenting, rather than replacing, human expertise. It details key applications, including medical imaging, drug discovery, and patient care, and highlights the significant benefits like improved diagnostic accuracy and cost reduction. The article also addresses crucial challenges, such as data privacy, regulatory compliance, and the need for trust and adoption.

Read on AnyAI