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App Development with Swift certification
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App Development with Swift certification

Stand out with swift certification.

Swift is a robust and intuitive programming language created by Apple. It’s easy to learn, simple to use, and super powerful — which makes it a great language for first time coders and full time developers.
Beginner Video Course Paid for all Members Career Development Product Development Tech Tools ITLS
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One Million Prompters
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One Million Prompters

Boost your knowledge in prompt engineering

Course Description

Course Summary

One Million Prompters is an ambitious initiative aimed at equipping one million individuals with the skills to use AI tools as well as AI and Prompt Literacy skills over the next three years.

This course provides a solid foundation in understanding AI, Generative AI, and Prompt Engineering, enabling participants to effectively utilise AI tools in their work and daily lives. With a hands-on, interactive approach, participants will master prompt creation, AI-powered productivity techniques, and creative AI applications, positioning them for success in the evolving job market. This future-proof program will empower learners to thrive in AI-driven industries and beyond.


Course Overview


Module 1 ( Unleashing the Power of AI)

Master the Basics of AI, Generative AI, and Prompt Literacy for Tomorrow’s World

Module Overview

Demystify AI, discover the fundamentals of AI, how it works, and the key role of prompt literacy. This module provides a strong foundation in understanding AI’s impact and potential across industries. Get ready to unlock the future of technology!

Key Topics

  • Why do we study AI?

  • What is AI is and what it is not

  • The role of data in powering AI

  • Lifecycle of AI: Training and inference explained

  • Narrow AI vs. General AI

  • Real-life examples of Narrow AI

  • Relationship between AI and machine learning

  • Can AI become General: The Turing Test

  • Introduction to Generative AI

  • Understanding Large Language Models (LLMs)

  • How does Generative AI differ from Traditional Search Engines?

  • What is a Prompt, and What is Prompt Engineering?

Outcomes

  • Demystify AI and learn to distinguish hype from reality.

  • Understand fundamental AI concepts and how they apply to real-world situations.

  • Differentiate between Narrow AI and General AI, and grasp how data fuels AI.

  • Learn the lifecycle of AI, including training and inference.

  • Gain introductory knowledge of generative AI and prompt engineering.


Module Curriculum

Introduction

Course Foundation
  • Course Introduction
  • Course Structure & Outlinle
  • Important Note on Continuous Learning
  • Introduction to AI, Generative AI & Prompts
Introduction to AI, Generative AI & Prompts
  • Why Do we Study AI?
  • What's NOT an AI: 5 Examples
  • What is an AI
  • How Data Fuels AI
  • Lifecycle of AI: Training & Inference
  • General AI vs Narrow AI
  • Real Life Examples of Narrow AI: Examples
  • What's the Relationship between AI and ML
  • Can AI become General? The Turing Test
  • Introduction to Generative AI
  • What are LLMs (Large Language Models)
  • How Generative AI differs from Search Engines?
  • What is a Prompt?
  • What is Prompt Engineering?
  • Quiz

Module 2 (Commanding Conversations with AI Chatbots)

Shape the Future of Human-AI Interaction with Advanced Prompt Engineering

Module Overview

Master the art of interacting with AI chatbots through effective prompts. Learn how to tailor AI responses for different applications and engage in hands-on demos with popular tools like ChatGPT, Copilot, Gemini and Claude. Elevate your AI communication skills to the next level!

Key Topics

  • Overview of popular AI chatbots.

  • Using ChatGPT: A hands-on demo of crafting basic prompts.

  • Best practices: How to build a great prompt (Rule of Thumb).

  • Hands-on demos: ChatGPT with 3 examples of effective prompts.

  • Iteration and experimentation in prompt engineering.

  • Introduction to Copilot, hands-on demos.

  • Working with other chatbots like Google Gemini, Anthropic Claude.

  • Exploring voice prompting and mobile chatbots.

  • Understanding and dealing with AI hallucinations.

Outcomes

  • Learn the rule of thumb for effective prompts and tasks.

  • Learn how to effectively use AI chatbots by creating tailored prompts.

  • Develop skills in prompt experimentation and iteration to optimise chatbot responses.

  • Understand the role of voice prompts and two-way conversations with mobile AI chatbots.

  • Understand AI hallucinations, why they occur and how to resolve them.


Module Curriculum

Prompt Engineering for Chat Bots
  • Most popular AI Chat Bots
  • ChatGPT and How to use it
  • Hands-On Demo: ChatGPT: Simple Basic Prompt
  • How to build a Great Prompt: The Rule of Thumb
  • Using Correct Prompts in ChatGPT
  • Prompt Engineering: Iteration and Experimentation
  • Copilot and how to use it
  • Hands-On Demo: Microsoft Copilot: Demos
  • Hands-On Demo: Google Gemini: Demos
  • Hands-On Demo: Anthropic Claude: Demos
  • Hands-On Demo: Mobile App Chat Bots – Voice prompting & 2-way conversations
  • What are Hallucinations?
  • Quiz

Module 3 (AI-Powered Productivity Revolution)

Supercharge Your Workflow with AI Tools for Every Office Task

Module Overview

Explore how AI can transform your daily work by automating tasks and boosting efficiency. This module covers practical AI tools for emails, data analysis, and more, helping you become a productivity powerhouse. Revolutionise your workflow with AI!

Key Topics

  • Hands-On Demo: AI Prompts for Sales teams

  • Hands-On Demo: AI Prompts for Human Resources

  • Hands-On Demo: AI Prompts for Product teams

  • Hands-On Demo: AI Prompts for Marketing and Social Media

  • Hands-On Demo: AI Prompts for Programming

  • Hands on Demo: AI for Document Summarization

  • Note on Data Privacy and Security

  • Hands-On Demo: AI Prompts for Data Analysis

Outcomes

  • Learn how to apply generative AI to enhance workplace productivity across various tasks.

  • Develop tailored AI prompts for different professional departments, including HR, marketing, finance, legal, sales, social media, product management, programming, graphic design and creatives.

  • Understand the role of data privacy and security in AI applications.


Module Curriculum

Prompt Engineering for Office Work & Productivity
  • How Generative AI helps in the workplace: Emails, Presentations, Excel, Meetings
  • Hands-On Demo: AI Prompts for Sales teams
  • Hands-On Demo: AI Prompts for Human Resources
  • Hands-On Demo: AI Prompts for Product teams
  • Hands-On Demo: AI Prompts for Marketing and Social Media
  • Hands-On Demo: AI Prompts for Programming
  • Hands on Demo: AI for Document Summarization
  • Note on Data Privacy and Security
  • Hands-On Demo: AI Prompts for Data Analysis
  • Quiz


Module 4 (Creative Frontiers with Generative AI)

Transform Art, Music, and Video with Cutting-Edge AI Technology

Module Overview

Step into the world of creative AI, where you can generate stunning art, music, and videos. Learn to use advanced AI tools like Midjourney, DALL-E, Suno.ai and Runway Ml to bring your ideas to life. Push the boundaries of creativity with cutting-edge technology!

Key Topics

  • Generative AI for art, images, and design.

  • Hands-on demos: Using DALL-E for creative projects.

  • Hands-on demos: Using Midjourney for creative projects.

  • Generative AI for video and animation: Exploring Runway ML.

  • Hands-on demos for video creation with AI.

  • Generative AI for music and audio production.

  • Exploring tools like Suno.ai to generate music.

Outcomes

  • Understand how generative AI can be applied in creative fields like art, music, and video production.

  • Develop skills in crafting AI-generated content across multiple mediums.

  • Experiment with AI tools to produce unique visual, auditory, and animated projects.


Module Curriculum

Generative AI for Art, Images, Design
  • Gen AI for Art, Images, Design
  • Hands-On Demo: DALL-E
  • Hands-On Demo: Midjourney
Generative AI for Music & Audio
Generative AI for Video & Animation
  • Hands-On Demo: Runway ML
  • Quiz
Final Assessment
  • Final Assesment
Conclusion
HE Khalafan Belhoul

Beginner Video Course Free for all Members AI Automation Career Development Content Creation Personal Development Productivity Systems & Productivity Tech Tools Dubai Future Foundation
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Claude 101
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Claude 101

Learn how to use Claude for everyday work tasks,
Meet Claude
  • What is Claude?
  • Your first conversation with Claude
  • Getting better results
  • Claude desktop app: Chat, Cowork, Code
Organizing your work and knowledge
  • Introduction to projects
  • Creating with artifacts
  • Working with skills
Expanding Claude's reach
  • Connecting your tools
  • Enterprise search
  • Research mode for deep dives
Putting it all together
  • Claude in action: use-cases by role
  • Other ways to work with Claude
Conclusion & certificate
  • What's next?
  • Certificate of completion
  • Data and Privacy

Beginner Video Course Free for all Members AI Automation Career Development Productivity Tech Tools Anthropic
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Claude Code 101
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Claude Code 101

Learn how to use Claude Code effectively in your daily development workflow.
Course Overview:
About this Course:

Claude Code 101 is designed for developers who are either new to software engineering or experienced engineers who haven't yet explored AI coding agents. This course walks you through everything from installation to advanced customization, teaching you how to use Claude Code effectively in your daily workflow.

Learning objectives

By the end of this course, you'll be able to:

  • Explain what an AI coding agent is and how Claude Code differs from chat-based AI tools
  • Understand how the agentic loop, context window, tools, and permissions work together
  • Install and set up Claude Code in the terminal, VS Code, JetBrains, Claude Desktop, or on the web
  • Write effective prompts using approval mode, auto-accept, and Plan Mode
  • Follow the Explore → Plan → Code → Commit workflow for any feature or task
  • Manage your context window with /compact, /clear, and /context to stay productive
  • Create and maintain a CLAUDE.md file to give Claude persistent project memory
  • Build custom subagents to delegate tasks and keep your main context clean
  • Connect external tools and data sources using MCP servers
  • Write hooks for deterministic control over formatting, command blocking, and notifications

Prerequisites

  • Basic familiarity with a code editor and the command line
  • A Claude account (Pro, Max, or Enterprise) or an API key

Who this course is for

New developers getting into software engineering who want to learn AI-assisted workflows from the start, and experienced engineers who are curious about coding agents but haven't taken the plunge yet.


Course Structure:

  • 12 lectures
  • 1.5 hours of video
  • 1 quiz
  • ✓ Certificate of completion


Beginner Video Course Free for all Members AI Automation Career Development Personal Development Productivity Startups Systems & Productivity Tech Tools Anthropic
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Claude Platform 101
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Claude Platform 101

 Build on the Claude Developer Platform from the ground up

Course Overview:

About this course

There's a wide gap between chatting with Claude in a browser tab and building Claude into something you ship. A chat answers a question and the thread ends there. An application sends Claude structured requests, hands it tools, lets it act on real systems, and runs that loop for one user or a million. The Claude Developer Platform exists to close that gap, and it's a different skill from prompting. Getting value out of it means understanding what's in a request, how an agent decides what to do, and where the costs and limits live.

This course teaches developers to build on the Claude Developer Platform from the ground up, whether you've made a few API calls or have only used Claude through a chat window. We start from first principles: what an API request contains, what an agent loop is, how the context window bounds what Claude can see, and how tools and permissions decide what it can do. The techniques later in the course then land as understanding instead of a list of calls to copy.

You'll send your first request and read the response, then choose the right model for a job (Opus, Sonnet, or Haiku) and weigh the cost-and-latency trade-off on your own examples instead of guessing. From there you'll build the agent loop by hand to see how Claude acts, observes, and decides, then collapse that hand-written loop with the SDK's Tool Runner once you understand what it does for you. You'll give Claude reach through tool use, let it reason through hard problems with extended thinking, and keep spend predictable with workspaces, limits, and the Console Workbench.

The middle of the course extends an agent beyond your own code: Anthropic's built-in tools (web search, code execution, web fetch) that run on Anthropic's infrastructure, Skills that package a procedure once and reuse it across calls, MCP servers that connect Claude to third-party tools without writing a schema, and the context-management patterns that keep a long-running agent inside the window and affordable past turn ten.

The final section hands work off. You'll learn when to run your own loop and when to let Anthropic run a sandboxed, managed agent for you, then build one end to end, consuming the event stream as Anthropic runs the loop and reports back. A standalone lesson shows you how to build with the API using Claude Code itself, which is also why the rest of the course matters: you need to know what good code looks like to review what an agent writes for you. Every lesson ends with a runnable demo, so you finish each one with working code.

Recommended prerequisites

Comfort reading and writing code in at least one language, plus basic command-line familiarity. The demos use the TypeScript SDK (@anthropic-ai/sdk) with Node and npm. You don't need to be a TypeScript expert, but you should be able to follow along and run a script. (The platform also offers a Python SDK; the course examples are in TypeScript.) You'll need an Anthropic Console account and an API key from platform.claude.com, plus a small amount of prepaid credit to run the examples. You don't need prior experience building with LLMs.

Who this is for

Developers who've used Claude in a chat window and want to build it into their own applications, whether you're adding AI features to an existing product or prototyping an agent from scratch. If you've sent a handful of API calls but stalled at "how do I make this act on its own" or "how do I connect it to my real systems," this course is the bridge from a single request to a production agent. You don't need prior agent experience; each lesson builds on the one before it.

Curriculum

What is the Claude Developer Platform?
  • What is the Claude Developer Platform?
  • Your first API call
  • Choosing the right model
Teaching your Agent
  • The agent loop explained
  • What is tool use?
  • What is thinking?
Extending your Agent
  • Built-in tools
  • Skills
  • MCP
  • Context management
Managed Agents
  • What are managed agents?
  • Building your first managed agent
Building with Claude Code
  • Building with Claude Code
Quiz
  • Claude Platform 101 Quiz

Intermediate Video Course Free for all Members AI Automation Career Development Product Development Productivity Startups Systems & Productivity Tech Tools Anthropic
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Cisco Certified Support Technician
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Cisco Certified Support Technician

Kick-start your career with a Cisco certification!

Course Overview


Cisco, the worldwide leader in technology that powers the Internet, has partnered with Certiport to create the Cisco Certified Support Technician (CCST) certification program.

This program includes three certification exams designed to validate work-ready skills and knowledge to help learners find a job in the field of end user support, networking, and cybersecurity. Earning a Cisco Certified Support Technician certification showcases the learner’s skillset to employers, telling them they are ready to roll up their sleeves on day one.

The 100-140 CCST IT Support, 100-150 CCST Networking, and 100-160 CCST Cybersecurity exams were created by a team of subject-matter experts from diverse careers and industries (including Cisco employees, networking and cybersecurity professionals, hiring managers, professors, teachers, and the experts at Certiport) to ensure these certifications effectively bridge the gap between education and the skills and knowledge needed to succeed in the workplace. It helps prepare learners for high-demand roles in tech support, networking, and cybersecurity, including analysts, auditors, support specialists, and technicians.

 




Beginner Video Course Paid for all Members Career Development Cybersecurity Personal Development Special Topics Tech Tools ITLS
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Adobe Certified Professional
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Adobe Certified Professional

Put the proof in your portfolio.


The future belongs to those who create. Whether it’s to inform, persuade, entertain, or inspire, success in the digital age means communicating in visually rich and

interactive ways. With a firm grasp on the world’s most powerful creative tools, Adobe Certified Professionals are ready to make their mark.

Adobe Certified Professional is the industry-recognized certification that demonstrates mastery of Adobe Creative Cloud software and must-have knowledge

for digital media careers. Each exam is integrated with an Adobe application and designed by experts, allowing for an authentic assessment of job-ready skills.

Beginner Video Course Paid for all Members Career Development Content Creation Creator Economy Productivity Tech Tools ITLS
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