Generative AI Automation Specialization Course Syllabus

Overview: This specialization provides a comprehensive introduction to Generative AI and its application in workflow automation. Designed for beginners, the course spans approximately 10 weeks with a total time commitment of 40-50 hours. Learners will explore core AI concepts, automation techniques, prompt engineering, and real-world business applications through hands-on projects and case studies.

Module 1: Introduction to Generative AI & Automation

Estimated time: 6 hours

• Understand what Generative AI is and how it differs from traditional AI
• Explore applications of AI-driven automation in different industries
• Learn about ethical considerations and challenges in Generative AI

Module 2: Machine Learning & Deep Learning Fundamentals

Estimated time: 10 hours

• Introduction to machine learning concepts used in AI automation
• Understanding neural networks, deep learning, and how models learn
• Explore pre-trained AI models and how they generate content

Module 3: AI-Powered Automation Techniques

Estimated time: 16 hours

• Learn how AI automates workflows in business processes
• Implement chatbots, content automation, and AI-driven recommendations
• Discover ways to fine-tune AI models for automation tasks

Module 4: Prompt Engineering & Optimization

Estimated time: 20 hours

• Learn how to write effective prompts for AI models
• Optimize AI outputs for accuracy and relevancy
• Hands-on projects to test AI-powered content generation and decision-making

Module 5: Generative AI in Business & Industry Applications

Estimated time: 24 hours

• Explore case studies of AI-powered automation in different sectors
• Learn best practices for integrating AI into existing systems
• Study real-world applications in customer service, content generation, and software development

Module 6: Final Project

Estimated time: 14 hours

• Design an automated workflow using Generative AI tools
• Apply prompt engineering techniques to optimize outputs
• Submit a documented project demonstrating real-world AI automation

Prerequisites

• Basic understanding of technology and digital workflows
• Familiarity with business processes or software applications
• No coding experience required

What You'll Be Able to Do After

• Explain the fundamentals of Generative AI and its role in automation
• Apply AI-powered tools to automate business workflows
• Use prompt engineering to improve AI-generated outputs
• Integrate AI models into real-world applications and systems
• Analyze case studies to identify opportunities for AI automation in various industries