Artificial Intelligence Courses
AI Mastery for Professionals
Unlock the power of AI in your everyday work with this practical, beginner-friendly course. In this course, you’ll gain a solid foundation in artificial intelligence, generative AI, and machine learning,with no technical background required. Learn how to leverage AI tools to boost productivity, automate tasks, enhance creativity, and make smarter business decisions. Through hands-on exercises, real-world case studies, and interactive sessions, you'll develop the confidence to integrate AI into your daily work. Whether you're looking to streamline your work, improve efficiency, or stay competitive in the AI-powered future, this course will equip you with the essential skills to succeed.
Learning Goals:
- Understand AI and Generative AI fundamentals.
- Learn how to use AI tools to boost productivity.
- Develop AI-assisted problem-solving and creative thinking.
- Apply AI in daily work tasks.
- Applying the skills with hands-on learning exercises
COURSE OUTLINE
DAY 1
Instructor-Led Theory (4 hours)
Instructor-Led Activities & Exercises (30 minutes)
Day 1: Introduction to AI & Generative AI
This foundational module introduces participants to the world of Artificial Intelligence and Generative AI. Learners explore key definitions, how AI differs from traditional computing, and the transformative potential of AI across industries. Through real-world examples and hands-on use of tools like ChatGPT and Gemini, participants begin applying AI for research and writing, while gaining a deeper understanding of AI’s role in modern workplaces.
Module 1: Introduction to AI & Generative AI (4 hours)
Objective: Understand the basics of AI and its applications.
1. Theory & Concepts
- Introduction to AI.
- What is Generative AI
- AI vs Traditional Computing
2. Application Examples
- Explore AI-powered tools.
- AI-assisted research & writing.
3. Use Cases & Discussion
- How AI is transforming different industries.
- Discuss common AI myths and misconceptions.
4. Activities and Exercises: (30 mins)
To help participants understand how AI can assist in conducting research and writing tasks tailored to different roles within an organization. This exercise builds familiarity with prompt writing, analyzing AI-generated outputs, and aligning AI responses to workplace needs.
Tools Used:
- ChatGPT (via web browser or desktop/mobile app)
- Google Gemini
- Microsoft Copilot
DAY 2
Instructor-Led Theory (4 hours)
Instructor-Led Activities & Exercises (30 minutes)
Day 2: Boosting Productivity with AI
In this module, participants discover how AI can be used to automate repetitive tasks and optimize workflows. The focus is on practical tools such as Microsoft Copilot and ChatGPT for generating emails, reports, presentations, and analyzing data. By learning how to embed AI into daily routines, learners gain immediate, actionable skills to boost efficiency and focus on higher-value work.
Module 2: Boosting Productivity with AI
Objective: Learn how to integrate AI into every Module task.
1. Theory & Concepts
- AI for Productivity
- How AI Can Automate Workflows
- Using AI in Microsoft Tools
2. Application Examples
- AI-generated emails, reports, and presentations, and data analysis.
3. Use Cases & Discussion
- How employees can integrate AI into daily work.
- Discuss real-world examples of AI-driven productivity.
4. Activities and Exercises: (30 mins)
In this exercise, participants discover how AI can be used to automate repetitive tasks and optimize workflow, focusing on tools such as Microsoft Copilot, ChatGPT, and Gemini for generating emails, reports, presentations, and analyzing data.
- AI-generated emails
- AI-generated reports
- AI-generated presentations
- Data analysis using AI
DAY 3
Instructor-Led Theory (4 hours)
Instructor-Led Activities & Exercises (30 minutes)
Day 3: AI & Machine Learning Basics
This module offers a beginner-friendly introduction to the concepts of machine learning and neural networks. Participants explore how machine learning powers many AI applications, from recommendation engines to intelligent chatbots. The module emphasizes how these tools can be used in real business settings like marketing, finance, and customer service, with exercises designed to demonstrate AI's ability to support smarter decisions.
Module 3: AI & Machine Learning Basics
Objective: Understand the core concepts of machine learning.
1. Theory & Concepts
- Machine Learning for Beginners
- Neural Networks Explained
2. Application Examples
- AI-powered chatbots
- AI-driven decision-making
3. Use Cases & Discussion
- AI in customer service, marketing, and finance.
- How machine learning influences business strategies.
4. Activities and Exercises: (30 mins)
Participants explore AI support and collaboration for Sales and Marketing Activities. The module emphasizes how these tools can be used in real business settings like sales and marketing, with exercises designed to demonstrate AI's support and collaboration to improve productivity. Participants enter prompts into ChatGPT or Gemini and observe how the tools respond. They will refine their prompts at least once to improve the relevance and depth of the answer (introducing basic prompt engineering skills).
- Sales and Marketing with AI
- Using AI in Customer Service
DAY 4
(Instructor-Led Theory (4 hours)
Instructor-Led Activities & Exercises (30 minutes)
Day 4: AI-Powered Creativity & Problem-Solving
Focusing on the creative potential of AI, this module equips participants with techniques to use AI as a partner in brainstorming, content creation, and solving challenges. Learners practice prompt engineering and content generation for marketing, video, and even music creation. Ethical considerations around creative use of AI are also explored, encouraging responsible innovation in communication and design tasks.
Module 4: AI-Powered Creativity & Problem-Solving
Objective: Explore how AI can enhance creativity at work.
1. Theory & Concepts
- AI & Creative Problem solving
- Prompt Engineering Basics
- AI for Content Creation
2. Application Examples
- Writing AI-assisted marketing copy & social media content.
- Using AI for brainstorming and ideation.
3. Use Cases & Discussion
- How AI can support creative industries (writing, music, video).
- Ethical considerations in AI-generated content.
4. Activities and Exercises: (30 mins)
In this interactive activity, participants will explore how AI can support creative workflows by generating scripts, creating short videos, and composing background music. The session begins with participants using tools like
- ChatGPT or Gemini to generate a short script based on a provided prompt, such as a company introduction, a product explainer, or a motivational quote.
- Once the script is finalized, learners will input it into an AI video generation platform such as Sora, Pictory, Canva, or InVideo AI to produce a short branded video using pre-selected templates and visuals.
- Next, participants will experiment with AI music tools such as Soundraw, Mubert, or AIVA to generate a background music track that fits the tone and purpose of their video. The exercise will conclude with small group sharing and discussion on the opportunities and limitations of AI in creative content development, as well as best practices for integrating human oversight in AI-assisted media creation.
DAY 5
Instructor-Led Theory (4 hours)
Instructor-Led Activities & Exercises (30 minutes)
Day 5: AI Ethics, Risks & Responsible Use
This module emphasizes the importance of ethical and responsible AI use in the workplace. Participants learn to identify potential risks, biases, and security concerns associated with AI-generated content. Real-world examples and exercises highlight data privacy, risk mitigation, and the development of safe, transparent AI practices that align with organizational values and compliance standards.
Module 5: AI Ethics, Risks & Responsible Use
Objective: Learn ethical AI usage and risk management.
1. Theory & Concepts
- AI & Business Strategy
- Responsible AI Practices
- Understanding AI Risks
2. Application Examples
- Identify biases in AI-generated content.
- Learn AI best practices in work environments.
3. Use Cases & Discussion
- Data privacy & security concerns.
- Ethical dilemmas in AI decision-making.
4. Activities and Exercises: (30 mins)
In this activity, participants will engage in a guided exploration of the ethical and legal implications of using AI in the workplace, specifically focusing on data privacy and security risks. Using realistic workplace scenarios and AI-generated outputs, learners will work in small groups to identify potential vulnerabilities, such as sharing sensitive information in prompts, relying on unsecured third-party tools, or exposing proprietary data to external AI models. Each group will analyze one scenario (e.g., HR using AI for resume screening or marketing using AI to draft personalized emails) and highlight where personal data might be unintentionally disclosed or misused. Participants will then complete a brief checklist to evaluate the security and privacy safeguards of common AI tools like ChatGPT, Gemini, and Copilot. The session will wrap with a collaborative discussion on responsible data handling, including best practices and real-world compliance guidelines (e.g., GDPR, HIPAA, or Canadian PIPEDA), empowering participants to use AI tools ethically and safely within their roles.
- Identifying Data Privacy.
- Identifying security concerns.
DAY 6
Instructor-Led Theory (4 hours)
Instructor-Led Activities & Exercises (30 minutes)
Day 6: Applying AI in Business & Future Trends
The final module brings together the course’s key concepts, with a forward-looking view on how AI is shaping the future of work. Topics include AI-driven leadership, industry-specific applications in HR, finance, and marketing, and emerging trends. Participants explore tools for project management and discuss strategies for continuous AI learning, ensuring they leave prepared to embrace ongoing innovation in their roles.
Module 6: Applying AI in Business & Future Trends
Objective: Gain insights into AI’s future and real-world business applications.
1. Theory & Concepts
- AI and Leadership
- AI in HR, Finance & Marketing
- The Future of AI
2. Application Examples
- AI-driven project management tools.
3. Final Discussion
- How to continue learning AI.
Fee per participant: $1,500 (ask about 80% subsidy)
Certificate awarded: AI for Professionals Mastery Certificate
