Generative AI Simplified: Build Real-World AI Applications
Master the essentials of Generative AI and build powerful applications for real-world impact.
IT and Software ,Other IT and Software,Python
Lectures -10
Resources -2
Duration -40 mins
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Course Description
Get started on releasing the full potential of Generative AI in this beginner-friendly, hands-on course bringing complex AI concepts to earth. Understand clearly what AI and Generative AI are, how they differ, and why they transform and change industries. From there, dive into the key techniques: retrieval-augmented generation as well as fine-tuning, really laying out just how these methods improve the capacity of the AI to be more adaptive and to generate meaningful responses in real-world applications.
Building two real-world projects that are so engaging: building an AI Translator that can translate the spoken or written content in one language to another and a Resume ATS Score App that optimizes your resume to fit your job description. At course end, you will master the creation of impact-driven AI applications. Whether new to AI or merely adding new tools to your kit, the course will help you build smarter applications to solve real-world problems.
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.

Curriculum
Check out the detailed breakdown of what’s inside the course
Welcome
1 Lectures
-
Course Introduction 00:48 00:48
Introduction
1 Lectures

Generative AI Concepts
1 Lectures

Building AI Applications
6 Lectures

Conclusion
1 Lectures

Instructor Details

Muhammad Uzair
Course Certificate
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