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hassan oulcaid

Member since 2023

Diamond League

13672 points
AI Boost Bites: Create Your Ultimate College Scouting Report Earned מרץ 13, 2026 EDT
AI Boost Bites: One-Click Campaign Visuals Earned מרץ 11, 2026 EDT
AI Boost Bites: From Napkin Sketch to Functional App Earned מרץ 9, 2026 EDT
AI Boost Bites: NotebookLM Reports Earned מרץ 6, 2026 EST
AI Boost Bites: Your Personal Feedback Agent Earned מרץ 4, 2026 EST
AI Boost Bites: Presentation Scripts with Gemini Earned מרץ 3, 2026 EST
AI Boost Bites: Project Notebooks Earned פבר 28, 2026 EST
AI Boost Bites: NotebookLM for Market Research Earned פבר 27, 2026 EST
AI Boost Bites: NotebookLM Video Overviews Earned פבר 24, 2026 EST
AI Boost Bites: Discover Sources in NotebookLM Earned פבר 23, 2026 EST
AI Boost Bites: NotebookLM Mind Maps Earned פבר 22, 2026 EST
AI Boost Bites: Intro to NotebookLM Earned פבר 20, 2026 EST
AI Boost Bites: Email Content Creation Earned פבר 17, 2026 EST
AI Boost Bites: Create Docs in Seconds Earned פבר 17, 2026 EST
Gen AI Agents: Transform Your Organization Earned פבר 16, 2026 EST
Gen AI Apps: Transform Your Work Earned פבר 15, 2026 EST
AI Boost Bites: AI Power-Ups for Google Workspace Earned פבר 15, 2026 EST
Gen AI: Navigate the Landscape Earned פבר 10, 2026 EST
AI Boost Bites: Tame Your Inbox with AI Earned פבר 10, 2026 EST
Develop Serverless Applications on Cloud Run Earned פבר 10, 2026 EST
AI Boost Bites: Gemini Slide Summaries Earned פבר 8, 2026 EST
AI Boost Bites: No-Code Sheets & Scripts Earned פבר 7, 2026 EST
AI Boost Bites: Amplify Exec Voices with AI Earned פבר 7, 2026 EST
Build Google Cloud Infrastructure for AWS Professionals Earned פבר 4, 2026 EST
Develop Your Google Cloud Network Earned פבר 3, 2026 EST
Gen AI: Unlock Foundational Concepts Earned פבר 1, 2026 EST
Streamline App Development with Gemini Code Assist Earned ינו 29, 2026 EST
Gen AI: Beyond the Chatbot Earned ינו 27, 2026 EST
AI Infrastructure: Introduction to AI Hypercomputer Earned ינו 8, 2026 EST
Cloud Architecture: Design, Implement, and Manage Earned דצמ 9, 2025 EST
Build Infrastructure with Terraform on Google Cloud Earned נוב 25, 2025 EST
Build Custom Processors with Document AI [Deprecated] Earned נוב 3, 2025 EST
Set Up an App Dev Environment on Google Cloud Earned נוב 3, 2025 EST
Optimize Costs for Google Kubernetes Engine Earned אוק 31, 2025 EDT
Implement CI/CD Pipelines on Google Cloud Earned אוק 1, 2025 EDT
Managing Cloud Infrastructure with Terraform Earned ספט 3, 2025 EDT
Mitigate Threats and Vulnerabilities with Security Command Center Earned אוג 26, 2025 EDT
Kubernetes in Google Cloud Earned אוג 19, 2025 EDT
Introduction to Generative AI - בעברית Earned יול 15, 2025 EDT
Deploy Kubernetes Applications on Google Cloud Earned יול 9, 2025 EDT
Implement DevOps Workflows in Google Cloud Earned יול 2, 2025 EDT

In this video, you'll learn to use creative prompts in Gemini to make complex research fun and easy to understand. You'll see how to ask Gemini to research a topic and present the findings in a creative format, like a sports scouting report and a head-to-head bracket, to better visualize and compare your options.

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In this video, you'll learn to use the Create menu in Gemini Canvas to instantly convert a block of text into a variety of visual formats. You’ll see how to take a brainstormed marketing campaign and turn it into both a shareable infographic and an internal webpage with just one click.

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In this video, you'll learn to use Gemini Canvas to turn a simple drawing into a working app. You'll upload a sketch, use a simple prompt to generate code, watch a live preview build itself, and make iterative changes to your app prototype using natural language.

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This video covers how NotebookLM's Reports feature dynamically suggests formats to help you create customized, trustworthy analyses of your documents with ease.

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This video covers how to build a personalized "Work with Me" agent using Gemini Gems, which helps streamline foundational feedback and makes your meetings more strategic and efficient.

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AI Boost Bites is a video series designed to help you leverage Google's AI tools in your daily work. Each episode, under 10 minutes, features a quick video demonstrating a real-world AI use case or topic. After the video, you'll get a challenge to apply what you've learned. It's an easy, interactive way to boost your AI skills and improve your productivity.

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This video covers how to create a 'project notebook' in NotebookLM by adding all relevant sources to build a central, searchable knowledge hub for your team.

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This video covers how to use NotebookLM for common marketing tasks like analyzing customer feedback, conducting market research, and generating content ideas.

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This video covers how to use the Video Overviews feature in NotebookLM to automatically generate a short explainer video based on your source documents.

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This video covers how to use the 'Discover Sources' feature in NotebookLM to find and import relevant web-based sources directly into your research project.

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This video covers how to use the Mind Maps feature in NotebookLM to automatically create a visual representation of your sources, helping you understand connections and key concepts.

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This video covers how to use NotebookLM as a personal research assistant by adding sources, asking questions, and generating new content formats based on your documents.

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This video covers how to use Gemini in Gmail to draft new emails, refine their tone, respond with context from Drive files, and use smart reply suggestions.

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This video covers how to use the 'Help me create' feature in Google Docs to generate a complete, formatted document by referencing content from other files in your Drive.

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Gen AI Agents: Transform Your Organization is the fifth and final course of the Gen AI Leader learning path. This course explores how organizations can use custom gen AI agents to help tackle specific business challenges. You gain hands-on practice building a basic gen AI agent, while exploring the components of these agents, such as models, reasoning loops, and tools.

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Transform Your Work With Gen AI Apps is the fourth course of the Gen AI Leader learning path. This course introduces Google’s gen AI applications, such as Google Workspace with Gemini and NotebookLM. It guides you through concepts like grounding, retrieval augmented generation, constructing effective prompts and building automated workflows.

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This video covers five key ways to use Google's AI tools, including Gemini in Workspace, the Gemini app, and NotebookLM, to enhance your daily productivity.

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Gen AI: Navigate the Landscape s the third course of the Gen AI Leader learning path. Gen AI is changing how we work and interact with the world around us. But as a leader, how can you harness its power to drive real business outcomes? In this course, you explore the different layers of building gen AI solutions, Google Cloud’s offerings, and the factors to consider when selecting a solution.

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This video covers how to use Gemini in Gmail to summarize emails, find information, and draft replies, helping you manage your inbox more efficiently.

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Complete the intermediate Develop Serverless Applications on Cloud Run skill badge course to demonstrate skills in the following: integrating Cloud Run with Cloud Storage for data management, architecting resilient asynchronous systems using Cloud Run and Pub/Sub, constructing REST API gateways powered by Cloud Run, and building and deploying services on Cloud Run.

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This video covers how to use Gemini in Slides to automatically generate meeting recaps and draft follow-up emails, which can streamline your post-meeting workflow and save you time.

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This video covers how you can leverage Gemini's advanced AI capabilities within Google Sheets to effortlessly pull data and generate insights in minutes, all without the need for any technical or coding background.

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This video will cover how to leverage Gemini Gems to create authentic social media posts in your leader's unique voice. Learn to overcome the challenge of scaling executive social presence by training a Gem with writing samples and clear instructions. Discover how to generate engaging posts quickly, saving time while amplifying thought leadership and ensuring authenticity.

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Earn a skill badge by completing the Build Google Cloud Infrastructure for AWS Professionals course, where you learn how to configure IAM permission, orchestrate workloads using Kubernetes, host a web application using compute engine, and configure load balancing.

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Earn a skill badge by completing the Develop your Google Cloud Network skill badge course, where you learn multiple ways to deploy and monitor applications including how to: explore IAM roles and add/remove project access, create VPC networks, deploy and monitor Compute Engine VMs, write SQL queries, deploy and monitor VMs in Compute Engine, and deploy applications using Kubernetes with multiple deployment approaches.

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Gen AI: Unlock Foundational Concepts is the second course of the Gen AI Leader learning path. In this course, you unlock the foundational concepts of generative AI by exploring the differences between AI, ML, and gen AI, and understanding how various data types enable generative AI to address business challenges. You also gain insights into Google Cloud strategies to address the limitations of foundation models and the key challenges for responsible and secure AI development and deployment.

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Designed for developers of all levels, this course introduces you to the core features and functionalities of Gemini Code Assist, an AI-powered app development collaborator for Google Cloud. From intelligent code suggestions and auto-completion to real-time error detection and refactoring assistance, you'll discover how Gemini Code Assist can significantly enhance your productivity and code quality, and save valuable time to focus on more productive and enjoyable tasks.

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Gen AI: Beyond the Chatbot is the first course of the Gen AI Leader learning path and has no prerequisites. This course aims to move beyond the basic understanding of chatbots to explore the true potential of generative AI for your organization. You explore concepts like foundation models and prompt engineering, which are crucial for leveraging the power of gen AI. The course also guides you through important considerations you should make when developing a successful gen AI strategy for your organization.

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Ready to get started with AI Hypercomputers? This course makes it easy! We'll cover the basics of what they are and how they help AI with AI workloads. You'll learn about the different components inside a hypercomputer, like GPUs, TPUs, and CPUs, and discover how to pick the right deployment approach for your needs.

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Earn a skill badge by completing the Cloud Architecture: Design, Implement, and Manage to demonstrate skills in the following: deploy a publicly accessible website using Apache web servers, configure a Compute Engine VM using startup scripts, configure secure RDP using a Windows Bastion host and firewall rules, build and deploy a Docker image to a Kubernetes cluster and then update it, and create a CloudSQL instance and import a MySQL database. This skill badge is a great resource for understanding topics that will appear in the Google Cloud Certified Professional Cloud Architect certification exam.

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Complete the intermediate Build Infrastructure with Terraform on Google Cloud skill badge to demonstrate skills in the following: Infrastructure as Code (IaC) principles using Terraform, provisioning and managing Google Cloud resources with Terraform configurations, effective state management (local and remote), and modularizing Terraform code for reusability and organization.

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Earn a skill badge by completing the Build Custom Processors with Document AI course. You learn how to extract data and classify documents by creating custom ML models specific to your business needs. This course teaches the foundation skills of building your own processors, working with optical character recognition, form parsing, processor creation, and uptraining the DocumentAI model.

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Earn a skill badge by completing the Set Up an App Dev Environment on Google Cloud skill badge course, where you learn how to build and connect storage-centric cloud infrastructure using the basic capabilities of the following technologies: Cloud Storage, Identity and Access Management, Cloud Functions, and Pub/Sub.

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Complete the intermediate Optimize Costs for Google Kubernetes Engine skill badge course to demonstrate skills in the following: creating and managing multi-tenant clusters, monitoring resource usage by namespace, configuring cluster and pod autoscaling for efficiency, setting up load balancing for optimal resource distribution, and implementing liveness and readiness probes to ensure application health and cost-effectiveness.

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Earn the intermediate skill badge by completing the Implement CI/CD Pipelines on Google Cloud skill badge course where you learn how to use Artifact Registry, Cloud Build, and Cloud Deploy. You interact with the Google Cloud console, Google Cloud CLI, Cloud Run, and GKE. This course teaches you how to build continuous integration pipelines, store and secure artifacts, scan for vulnerabilities, attest to the validity of approved releases. Additionally, you get hands-on experience deploying applications to both GKE and Cloud Run.

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In this Quest, the experienced user of Google Cloud will learn how to describe and launch cloud resources with Terraform, an open source tool that codifies APIs into declarative configuration files that can be shared amongst team members, treated as code, edited, reviewed, and versioned. In these nine hands-on labs, you will work with example templates and understand how to launch a range of configurations, from simple servers, through full load-balanced applications.

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Complete the intermediate Mitigate Threats and Vulnerabilities with Security Command Center skill badge course to demonstrate skills in the following: preventing and managing environment threats, identifying and mitigating application vulnerabilities, and responding to security anomalies.

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Kubernetes is the most popular container orchestration system, and Google Kubernetes Engine was designed specifically to support managed Kubernetes deployments in Google Cloud. In this course, you will get hands-on practice configuring Docker images, containers, and deploying fully-fledged Kubernetes Engine applications.

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זהו קורס מבוא ממוקד שמטרתו להסביר מהי בינה מלאכותית גנרטיבית, איך משתמשים בה ובמה היא שונה משיטות מסורתיות של למידת מכונה. הוא גם כולל הסבר על הכלים של Google שיעזרו לכם לפתח אפליקציות בינה מלאכותית גנרטיבית משלכם.

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Complete the intermediate Deploy Kubernetes Applications on Google Cloud skill badge course to demonstrate skills in the following: Configuring and building Docker container images.Creating and managing Google Kubernetes Engine (GKE) clusters.Utilizing kubectl for efficient cluster management.Deploying Kubernetes applications with robust continuous delivery (CD) practices.

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Complete the intermediate Implement DevOps Workflows in Google Cloud skill badge to demonstrate skills in the following: creating git repositories with Cloud Source Repositories, launching, managing, and scaling deployments on Google Kubernetes Engine (GKE), and architecting CI/CD pipelines that automate container image builds and deployments to GKE.

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