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Master the essentials of Generative AI and build powerful applications for real-world impact.
Updated on Sep, 2026
IT and Software , Other IT and Software, Python
Training 5 or more people ?
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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.
By the End of This Course, You Will Be Able To:
Understand Artificial Intelligence (AI) and Generative AI.
Explain how they are different and how they are similar.
Learn Retrieval-Augmented Generation (RAG) and explain how it helps AI retrieve accurate information in real time.
Understand what fine-tuning is, why it is used, and how it can tune AI for a specific task.
Differentiate between RAG and Fine-Tuning, and know when to use each.
Develop Real-World AI Applications
Develop an AI Translator application that translates both text and speech across different languages.
Develop a Resume ATS Score application to optimize resumes for better compatibility with ATS systems and improve job matching.
Practical Use of Generative AI
Use Generative AI in practical scenarios.
Use the skills and knowledge from this course to build, deploy, and design real-life AI applications.
Practice hands-on experience with industry-leading tools and APIs to work with AI models and algorithms effectively.
Build confidence in AI and generative models.
Creative and Problem-Solving Applications
Understand how Generative AI techniques can be applied to a wide range of creative and problem-solving tasks.
Empower yourself by continuing to learn and experiment with AI and further develop your skills.
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.
Check out the detailed breakdown of what’s inside the course
Muhammad Uzair is a passionate instructor dedicated to making complex topics easy to understand. With a practical teaching approach and real-world examples, he helps learners build strong foundational skills and gain confidence in applying their knowledge effectively.
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