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Technology & AI

AI & Technology Foundations

This course explains modern technology in practical language. Students learn how AI systems work at a high level, how data moves through digital tools, and how to choose safe workflows for school, work, and business.

Level

Beginner

Modules

5

Lessons

25

Study Time

6 weeks

Certificate

Included

Language

English

Cost

Free

Instructor

Mapou Academy Faculty

Program overview

AI & Technology Foundations builds confidence with artificial intelligence, cloud tools, automation, cybersecurity habits, and responsible decision-making in a connected world.

What You'll Learn

  • Explain AI, machine learning, prompts, data, and automation in plain language
  • Choose digital tools based on task, privacy, cost, and reliability
  • Evaluate AI outputs for accuracy, bias, and missing context
  • Design a safe technology workflow for a real learning or work task

Skills You'll Gain

  • AI Foundations and Digital Systems
  • Practical AI Tools and Prompting
  • Digital Tools, Cloud Systems, and Automation
  • Cybersecurity, Privacy, and Digital Trust
  • Professional quiz and assignment readiness
  • Certificate preparation and progress habits

Course Includes

Everything students need to complete the path

Certificate-ready
5 professional modules
25 structured lessons
Lesson quizzes and practical assignments
Module checkpoints
Final exam
Verified Mapou Academy certificate

Free account required

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Chapter progression

Chapters

25 Chapters

190-120 min

Lesson 1.1 - What Is Artificial Intelligence?

Students learn the beginner foundations of artificial intelligence, including machine learning, generative AI, prompts, data, limitations, privacy, and human-in-the-loop thinking.

290-120 min

Lesson 1.2 - How Modern Digital Systems Work

Students learn how modern digital systems connect devices, software, networks, data, servers, and cloud services to produce useful results.

390-120 min

Lesson 1.3 - Data, Algorithms, and Machine Learning Basics

Students learn how data, algorithms, and machine learning models work together to power modern AI systems and everyday digital recommendations.

490-120 min

Lesson 1.4 - Generative AI, Prompts, and Human Review

Students learn how to communicate with AI assistants through clear prompts while reviewing AI-generated content for accuracy, quality, privacy, and responsible use.

590-120 min

Lesson 1.5 - Responsible AI Use, Bias, Privacy, and Verification

Students learn how to use AI responsibly by protecting privacy, checking information, recognizing bias, respecting ownership, and applying ethical judgment.

690-120 min

Lesson 2.1 - AI Assistants for Learning, Work, and Communication

Students learn what AI assistants are, how they are used across learning and professional environments, and how to balance productivity benefits with limitations and human oversight.

790-120 min

Lesson 2.2 - Prompt Engineering Fundamentals

Students learn prompt engineering fundamentals, including context, goals, expected output, examples, refinement, common mistakes, and best practices for AI communication.

890-120 min

Lesson 2.3 - AI for Research, Summarizing, and Information Checking

Students learn how to use AI as a research assistant while asking effective questions, summarizing documents, comparing sources, verifying information, and organizing research findings responsibly.

990-120 min

Lesson 2.4 - AI for Writing, Planning, and Creative Drafting

Students learn how AI can support emails, reports, outlines, action plans, brainstorming, content creation, grammar improvement, editing, originality, and ethical creative work.

1090-120 min

Lesson 2.5 - AI Tool Selection and Practical Use Cases

Students compare text, image, audio, video, coding, and research AI tools while learning practical selection strategies, workflow design, quality evaluation, and responsible real-world use.

1190-120 min

Lesson 3.1 - Choosing Digital Tools for Real Work

Students learn how to choose digital tools for practical work by comparing communication tools, productivity tools, project management tools, file management systems, collaboration platforms, and AI-powered workplace tools.

1290-120 min

Lesson 3.2 - Cloud Computing, File Storage, and Collaboration

Students compare local and cloud storage, learn secure sharing and cloud security practices, understand file synchronization and version history, and apply cloud workflows to education, business, healthcare, customer service, and remote work.

1390-120 min

Lesson 3.3 - Spreadsheets, Databases, and Structured Information

Students learn how to organize structured data using spreadsheets and databases, including rows, columns, tables, records, sorting, filtering, formulas, validation, industry use cases, and AI analysis.

1490-120 min

Lesson 3.4 - Automation Tools, No-Code Systems, and Integrations

Students learn automation principles, no-code and low-code systems, integrations, workflow triggers and actions, AI-powered automation, risks, monitoring, and practical use cases across education, healthcare, business, and customer service.

1590-120 min

Lesson 3.5 - Building Safe Digital Workflows for School, Work, and Business

Students learn how to design safe digital workflows for school, work, business, healthcare, education, entrepreneurship, and customer service using organized files, secure communication, collaboration, backup planning, responsible AI, and improvement practices.

1690-120 min

Lesson 4.1 - Cybersecurity Fundamentals and Online Safety

Students learn how cybersecurity protects devices, accounts, networks, information, and digital trust while practicing safe online behavior in school, work, business, and everyday life.

1790-120 min

Lesson 4.2 - Passwords, Multi-Factor Authentication, and Account Protection

Students learn why passwords matter, how to create strong passwords, how password managers and MFA work, how to recognize unauthorized access, and how to build a personal account protection checklist.

1890-120 min

Lesson 4.3 - Phishing, Scams, Misinformation, and Social Engineering

Students learn common phishing techniques, email scams, fake websites, SMS scams, phone scams, social engineering, misinformation, fraud warning signs, safe responses, reporting steps, and real-world case studies.

1990-120 min

Lesson 4.4 - Data Privacy, Permissions, and Responsible Sharing

Students learn digital privacy fundamentals, app permissions, privacy settings, safe sharing, digital footprints, privacy rights, sensitive information protection, responsible data sharing, and privacy breach lessons.

2090-120 min

Lesson 4.5 - Digital Trust, Verification, and Safe Technology Habits

Students learn what digital trust means, how trust is built online, how to verify websites, emails, sources, and AI-generated content, how to recognize manipulated media, how to protect reputation, and how to create a personal digital responsibility plan.

2190-120 min

Lesson 5.1 - AI in the Workplace and Career Development

Students learn how AI is used across industries, which jobs use AI daily, what new opportunities AI creates, which skills employers value, how to work alongside AI responsibly, and how to build an AI-ready career plan.

2290-120 min

Lesson 5.2 - AI Ethics, Professional Responsibility, and Decision Making

Students learn AI ethics, fairness, accountability, transparency, explainability, human oversight, bias and discrimination, privacy, responsible data use, copyright concerns, trust-building, case studies, and responsible adoption practices.

2390-120 min

Lesson 5.3 - Building an AI-Assisted Productivity System

Students learn productivity systems, AI productivity support, daily task organization, calendar management, AI note-taking, repetitive work automation, task prioritization, workflow design, productivity measurement, AI overdependence risks, and sustainable habits.

2490-120 min

Lesson 5.4 - AI for Business, Entrepreneurship, and Customer Service

Students learn business AI use cases, entrepreneurship support, customer service workflows, marketing and sales applications, operations and inventory support, customer experience improvement, risks, success stories, and responsible small-business AI adoption.

25120-150 min

Lesson 5.5 - Final AI Technology Integration and Real-World Case Studies

Students review the complete AI learning journey, integrate AI with digital systems, cybersecurity, cloud tools, automation, productivity, ethics, and professional responsibility, analyze real-world case studies, create a lifelong learning plan, and prepare for the final certification exam.