Course overview
This course provides a beginner-friendly introduction to Generative AI, covering its fundamentals, real-world applications, ethical considerations, and hands-on usage of AI tools. Participants will explore how AI models like Chat-GPT, Mid-Journey, Stable Diffusion, and Open-AI’s DALL·E can be used for content creation, automation, and problem-solving in various fields such as business, education, marketing, and software development.
By the end of this course, learners will have a strong understanding of how to effectively use Generative AI in their personal and professional lives, even without prior technical expertise.
Training methodology
The course follows a practical and interactive learning approach, including:
Instructor-led sessions – Explaining AI concepts in simple terms.
Hands-on exercises & live demos – Using AI tools for content creation, automation, and analysis.
Real-world case studies – Exploring how AI is transforming industries.
Group discussions & Q&A – Encouraging collaborative learning.
Capstone project – Applying AI tools to a personalized use case.
Target competencies
- By completing this course, participants will be able to:
- Understand the basics of Generative AI and its real-world applications.
- Use AI tools like Chat-GPT, Bard, and DALL·E for creative and business tasks.
- Leverage AI for automation, content creation, and decision-making.
- Analyze the ethical and societal implications of AI.
- Effectively integrate AI into personal and professional workflows.
Course objectives
Upon completing the course, participants will:
- Understand what Generative AI is and how it works.
- Use AI tools for text generation, image creation, and data analysis.
- Automate tasks like writing, brainstorming, and content enhancement.
- Apply AI for business productivity, education, and creative projects.
- Recognize ethical concerns and best practices in AI usage.
Course outline
Module 1: Introduction to Generative AI
- What is Generative AI, and how does it work?
- Types of Generative AI: Text, Images, Audio, and Code.
- Overview of popular AI tools (ChatGPT, Bard, DALL·E, Stable Diffusion, MidJourney).
- Hands-on: Exploring AI-generated text and images with free online tools.
Module 2: AI-Powered Text Generation & Automation
- How AI generates human-like text (LLMs & Chatbots).
- Using AI for writing emails, articles, and reports.
- AI-powered summarization, translation, and rewriting.
- Hands-on: Using Chat-GPT for content writing and idea generation.
Module 3: AI for Image & Media Generation
- How AI creates art, graphics, and visuals.
- Using DALL·E, Mid-Journey, and Stable Diffusion for image generation.
- AI-powered photo editing and enhancement.
- Hands-on: Creating AI-generated images for presentations, social media, and design.
Module 4: AI for Productivity & Business Automation
- How AI can streamline workflows & boost efficiency.
- Using AI for meeting summaries, task automation, and data analysis.
- AI-powered decision-making and business insights.
- Hands-on: Automating business tasks with AI tools like Notion AI & Jasper.
Module 5: AI in Marketing, Social Media, & Branding
- Using AI to generate social media posts, ads, and branding materials.
- AI-powered SEO optimization & blog content creation.
- AI for customer engagement & chatbot marketing.
- Hands-on: Creating AI-generated social media posts and branding visuals.
Module 6: AI for Educators & Students
- How AI can assist in learning, research, and knowledge retention.
- Using AI for tutoring, lesson planning, and content summarization.
- AI-powered research paper generation & plagiarism detection.
- Hands-on: Using AI for academic writing and study assistance.
Module 7: AI in Software Development & Automation
- Introduction to AI-assisted coding with GitHub Copilot & ChatGPT.
- How AI helps debug, document, and improve code.
- Automating repetitive tasks with AI-powered scripts.
- Hands-on: Generating Python code snippets with AI.
Module 8: Ethics, Bias, & Responsible AI Usage
- Ethical concerns in AI-generated content.
- AI bias, misinformation, and privacy risks.
- Best practices for using AI responsibly & avoiding misuse.
- Hands-on: Identifying AI biases and evaluating ethical AI usage.
Module 9: Future of AI & Career Opportunities
- How AI is transforming industries: Healthcare, Finance, Retail, and More.
- AI-powered jobs and future career opportunities.
- AI skills that will be in high demand in the coming years.
- Hands-on: Exploring AI career paths and upskilling options.
Module 10: Capstone Project – Applying AI to Your Workflow
- Final project: Implementing an AI-powered solution in personal or professional work.
- Presenting AI use cases and project demonstrations.
- Course recap & final Q&A session.
- Certification and career guidance for AI adoption in various domains.