Demystifying AI for Beginners & Career Journey
A podcast interview for complete beginners: what AI is, how to start learning it, and my career journey.
Talks and presentations
The A2A Protocol: Enabling Advanced AI Agent Capabilities
How the Agent2Agent protocol and Google’s Agent Development Kit let AI agents discover each other and collaborate.
Building AI Agents with n8n
An introduction to n8n and AI agents: connecting the platform to AI systems, designing smart workflows, and building complete automated tasks.
Fine-tuning Gemma LLM Models
How to fine-tune Google’s open Gemma models for your own tasks.
How To Fine Tune Gemma LLM Models
How To Fine Tune Gemma LLM Models
How To Fine Tune Gemma LLM Models
A hands-on session on fine-tuning Gemma models, delivered at Google I/O Extended Jeddah.
Exploring Gemini 1.5 Pro and Flash through Hands-on Applications
The differences between Gemini 1.5 Pro and Flash, explored by building hands-on applications with both.
Building Powerful Generative AI Applications with Google Gemini and LangChain: Agents
WiDS at KFUPM :Building Powerful Generative AI Applications with Google Gemini and LangChain: Agents
Build powerful Generative AI apps with LangChain
Build powerful Generative AI apps with LangChain ( part 1 & part 2)
Generative AI and ML with Vertex AI
Hands-on training sessions and competitions on generative AI and machine learning with Vertex AI at the Google Cloud booth.
How to Reduce the Costs of LLMs
How to Reduce the Costs of LLMs
The Journey on the Path to Artificial Intelligence
The Journey on the Path to Artificial Intelligence
Fine-tuning and Deploying Open-Source LLMs
Fine-tuning and Deploying Open-Source LLMs
The Impact of Attention Mechanisms on AI
The Impact of Attention Mechanisms on AI
Hands-on with the PaLM 2 API to Create Smart Apps
An introduction to generative AI and large language models, followed by hands-on training on building smart apps with the PaLM 2 API.
MLOps (Machine Learning Operations) Fundamentals
MLOps (Machine Learning Operations) Fundamentals
Modern Convolutional Neural Networks
Modern Convolutional Neural Networks such as AlexNet, VGG, NiN, GoogLeNet, ..etc.
Intro to JAX: Accelerating Machine Learning Research
Intro to JAX: Accelerating Machine Learning Research
Create Powerful Data Pipelines on GCP: Part 2
The hands-on continuation of the data pipelines workshop on Google Cloud.
Create Powerful Data Pipelines on GCP
Automating data flows to the cloud with data pipelines, and the Google Cloud tools and techniques that do it.
What’s New in Machine Learning?
The machine learning announcements from Google I/O 2022, presented with Amin Altajer.
Natural Language Processing (NLP)
Deep Learning Course: Natural Language Processing (NLP)
Machine Learning Roadmap: “From Zero to Hero”
If you are interested in machine learning but don’t know how to get started, all you need is a plan, a roadmap, and the courage to press on. I explain the big picture before you dive in, and the general steps of building a machine learning project.
Deploy Your Model Anywhere With Zero Cost
Free ways to deploy a machine learning model so anyone can use it.
Realistic Faces Generator using AI
AI surprised us with a new ability: generating high-resolution, photorealistic faces of people who don’t exist. This talk walks through the three papers behind it: GANs, ProGAN (Progressive Growing of GANs) and StyleGAN.
How Can You Get Started with Machine Learning?
A practical starting path into machine learning for developers.
How To Use GitHub Pages To Deploy Your Model
A short introduction to TensorFlow.js, then how to convert any TensorFlow or Keras model built and trained in Python into a TensorFlow.js model, and deploy it on GitHub Pages.
How TensorFlow.js Makes Deployment Easier
Running and deploying machine learning models directly in the browser with TensorFlow.js.
Machine Learning Tech Talk
A tech talk on machine learning for the Google Cloud developer community in Saudi Arabia.
Bias in Artificial Intelligence -Types and Causes
In real life there are many issues of fairness and bias. Common groups that experience discrimination include those based on skin colour, age, gender, race, language, religion, culture, marital status or economic status. What about artificial intelligence? Can we trust it to be fair? Could it inherit some of the worst human traits, such as prejudice and racism? And if bias is present in AI algorithms, where does it come from?
Cloud: Where Should I Run My Code? IaaS vs. CaaS vs. PaaS vs. FaaS
How to choose between the types of cloud computing on Google Cloud, and what each one offers.
Intro to AI Design + Development Workshop
An introduction to designing with AI, followed by a development workshop.
Creating with Google Maps
An advanced workshop on building with the Google Maps APIs.