Description
Build 12 end-to-end AI Use Cases (inc. Gen & Agentic AI). This course is part of a specialized program for acquiring skills in AI that emphasizes practical and applied learning. The program covers four levels of cognitive skills with a scientific framework, and this particular section focuses on two skills: “use” and “application”, which means practicing concepts in real environments and adapting knowledge to solve practical problems. Through structured exercises and three core competencies, the course teaches learners 20 performance indicators so that they can confidently apply AI technologies in various contexts. The first competency deals with traditional AI and includes a thorough understanding of workflows and different layers such as the application layer, model, infrastructure and common components such as data pipelines. Its practical use cases include housing price prediction and car type recognition. The second competency focuses on generative AI and covers tools such as prompt engineering, enhanced retrieval generation, and fine-tuning models for tasks such as resume customization. The third competency is dedicated to agent-oriented AI and teaches the architecture of autonomous systems that can reason and act, including the use of code-free agent builders and code-based implementations for financial forecasting. The ultimate goal of this course is to equip learners with the skills necessary to successfully implement AI solutions in real-world scenarios.
What you will learn
- Gain practical experience in AI Literacy, one of the most in-demand skills of 2025.
- Coverage of 12 complete end-to-end use cases in the areas of AI, Generative AI, and Agentic AI.
- Full access to the source code (Codebase) plus 100 ChatGPT prompt templates for daily use.
- Practice tests to reinforce concepts.
This course is suitable for people who:
- AI enthusiasts or people looking to change careers and want to build an AI portfolio and learn by doing.
- Business analysts who want to integrate AI into internal tools and automate decision-making with no-code and low-code solutions.
- Solo entrepreneurs and product managers looking to rapidly prototype AI features, collaborate better with technical teams, and turn ideas into working tools without coding from scratch.
- Data scientists who want to go beyond model training and learn how to build AI agents and automate real-world workflows.
Course details
- Publisher: Udemy
- Instructor: Saahil Gupta
- Training level: Beginner to advanced
- Training duration: 4 hours and 35 minutes
- Number of lessons: 24
Course topics
Prerequisites for the Build 12 end-to-end AI Use Cases (inc. Gen & Agentic AI) course
- There are no mandatory prerequisites. However, if you are completely new to AI or do not come from a technical background, we strongly recommend starting with our “Foundations of AI Literacy (For Non-AI Professionals)” course. It is Part 1 of this specialization and helps you build a clear understanding of the basics before diving into real-world projects.
Course images
Sample course video
Installation Guide
After Extract, view with your favorite player.
Subtitles: None
Quality: 720p
Download link
Downloadly
Rapidgator link
File(s) password: www.downloadly.ir
File size
3.2 GB
