Course Overview

Generative AI has revolutionized the way we create, communicate, and work. This comprehensive course equips learners with both the foundations of AI and the practical skills of prompt engineering, enabling them to effectively leverage tools like ChatGPT, Midjourney, GitHub Copilot, and Azure AI. Through hands-on tutorials, industry case studies, and real-world projects, you will learn how to design effective prompts, build AI-powered applications, and navigate the ethical challenges of using advanced AI systems.

By the end of this course, you’ll be ready to apply prompt engineering techniques in multiple domains coding, design, business workflows, and more while preparing yourself for the rapidly growing career paths in AI and automation.

Learning Objectives

• Gain a solid foundation in Generative AI concepts and prompt engineering.

• Explore popular AI tools and their applications in real-world contexts.

• Develop hands-on skills in chatbot building, code generation, and design automation.

• Understand the ethical implications of AI, including responsible usage.

• Explore career opportunities and how to position yourself in the AI-driven job market.

Course Modules

Module 1: Foundations of Generative AI & Prompt Engineering

• How to Become a Prompt Engineer? (Roadmap & Career Path)

• Generative AI Full Course (10+ Hours Comprehensive Session)

• Generative AI Tutorial | Introduction & Core Concepts

• What is Generative AI? How It Works

Outcomes:

• Learn the role and responsibilities of a prompt engineer.

• Understand the mechanics of generative AI and its use cases.

• Build foundational knowledge to apply in advanced modules.

Module 2: Generative AI Tools & Ecosystem

• Midjourney AI Tutorial | Getting Started in Under 10 Minutes

• Top 15 Popular Generative AI Tools You Must Know

• Generative AI in Business | Cambridge & Edureka Collaboration

• Top 10 Generative AI Tools to Boost Productivity

• Unleashing the Power of Generative AI

Outcomes:

• Master the use of Midjourney for design and creativity.

• Discover top generative AI tools across industries.

• Learn how AI is transforming business processes and strategies.

• Compare productivity-focused AI platforms and how to integrate them into workflows.

Module 3: Practical Applications of Prompt Engineering

• Building a Chatbot with Prompt Engineering (No-Code using Flowise AI)

• Prompt Engineering for Code Generation with ChatGPT

• GitHub Copilot Tutorial | Build Projects in 20 Minutes

Outcomes:

• Build AI-powered chatbots with no coding required.

• Apply prompt engineering in software development & code generation.

• Gain practical experience with GitHub Copilot to speed up coding tasks.

Module 4: Ethics, LLMs, and AI Foundations

• What is AI Ethics? Foundations & Implementation

• Large Language Models (LLMs) Explained

• How Large Language Models Work

Outcomes:

• Learn the importance of ethical considerations in AI adoption.

• Understand the structure and function of Large Language Models.

• Identify the risks, limitations, and governance challenges of LLMs.

Module 5: AI in the Cloud & Industry Trends

• AI on Microsoft Azure | AI-900 Fundamentals

• Google I/O 2024 Highlights in 10 Minutes

Outcomes:

• Learn about cloud-based AI solutions with Azure AI services.

• Gain insights into the latest AI innovations and industry directions.

• Explore how tech giants like Microsoft and Google are shaping the AI ecosystem.

Capstone Project (Optional)

Learners will apply their skills in a real-world project, such as:

• Building a custom AI-powered chatbot for customer support.

• Designing AI-assisted content generation workflows.

• Creating a coding assistant using GitHub Copilot.

Who Should Take This Course?

• Students and professionals interested in AI careers.

• Developers who want to enhance coding productivity with AI.

• Entrepreneurs and business leaders aiming to leverage AI for growth.

• Anyone curious about AI tools, prompt engineering, and automation.

Final Outcome

By the end of the course, learners will:

• Be proficient in prompt engineering across different domains.

• Confidently use AI tools like Midjourney, ChatGPT, GitHub Copilot, and Azure AI.

• Understand ethical AI practices and LLM fundamentals.

• Be ready to pursue careers as Prompt Engineers, AI Consultants, or AI-driven Entrepreneurs.