Generative AI Simplified: Build Real-World AI Applications

Goals

By the end of this course, you will be able to :

Core AI Concepts
Artificial Intelligence (AI) and Generative AI: By the end of this course, you understand what they are and how they differ from one another and are the same.
Key AI Techniques
Retrieve-Augmented Generation: By the end of this course, you learn RAG and explain how it allows AI to retrieve accurate information in real-time time.
Understand what fine-tuning is, why you should be using it, and how it can tune AI to a specific task
Differentiate between RAG and Fine Tuning, and know when to use which
Develop Real-world AI Applications
Develop an AI Translator translation application that can translate both text and speech across different languages.
Develop a Resume ATS Score Application: Optimize resumes to be better compatible with ATS so that users can automatically match jobs easily.
Use Generative AI in practical scenarios.
Use the skills and knowledge from this course to build, deploy, and design real-life needs and challenges based on AI applications.
Practice hands-on experience with industry-leading tools and APIs for work through AI models and algorithms so that they can work effectively
Build confidence in AI and generative models
Understand how techniques of Generative AI can be applied toward very broad-ranging creative and problem-solving tasks.
Empower yourself by keeping on learning and experimenting with AI and setting up further skills development.

Prerequisites

Here are some suggested prerequisites for your course, designed to ensure students are well-prepared but keeping it beginner-friendly:

Course Prerequisites:

1. Basic Computer Skills

Familiarity with navigating files, using applications, and basic internet usage.

2. Interest in AI and Technology

No prior experience with AI is required, but an interest in how AI works and its applications is beneficial.

3. Basic Understanding of Programming (Optional)

While not mandatory, basic knowledge of programming concepts (like variables, loops, and functions) will be helpful. Python basics would be a plus but aren’t strictly required.

4. Willingness to Learn New Tools

Some familiarity with online platforms and web-based tools will be useful, as the course introduces new software and AI tools.