Description
Zero to GenerativeAI Application Development Mastery in 2025. This course is a comprehensive learning path that starts with the fundamentals of AI and machine learning and progresses to building full-fledged generative AI applications. Designed for beginners and those looking to improve their skills, the course covers all the key steps in developing real-world applications. Topics start with the basics of AI, machine learning, deep learning, and their relationship to large language models, and participants are introduced to types of learning including supervised, unsupervised, and reinforcement. It then covers prompt engineering, the components of a structured prompt, the difference between system and user prompts, and how to manage AI illusions. It then goes on to explore core concepts of generative AI and large language models, such as how models like ChatGPT, Claude, and Gemini work, and explains concepts like tokens, context windows, embeddings, fragments, and model parameters in depth. The practical part of the course involves setting up a development environment by installing Python and integrating it with generative AI tools such as ChatGPT, DeepSeek, and Grok, which provide hands-on experience working with models through live coding. Participants learn how to build their own custom applications using the OpenAI, Google Gemini, and DeepSeek APIs, and connect to the models via SDKs, query, and retrieve responses. Hosting options and pricing models for deploying models in the cloud are explored, and cloud-hosted models are used for applications such as text-to-speech, OCR, and computer vision. They also learn how to run models locally on a PC and call them from code without relying on the cloud. Finally, the course concludes with real-world full-stack development projects in which multiple large language models are integrated to solve practical problems. This course is not only a training, but also a gateway to becoming a skilled and confident developer in the field of productive artificial intelligence.
What you will learn
- Understand the basics of Generative AI.
- Setting up and configuring a productive AI development environment.
- Review and use of pre-trained generative models.
- Integrating generative AI capabilities into real-world applications.
- Understanding Large Language Models.
- Run large language models locally or on servers.
- Learn about Prompt Engineering and the components of a well-structured Prompt.
- System Prompt and User Prompt with real examples.
- AI Hallucinations and How to Prevent Them.
- Receive educational materials.
- Get the source code.
This course is suitable for people who:
- Anyone who wants to get started with the world of generative artificial intelligence and large language models.
- Anyone who wants to integrate productive AI capabilities into their existing projects and applications.
Course details
- Publisher: Udemy
- Instructor: Ranjan Pandey
- Training level: Beginner to advanced
- Training duration: 3 hours and 11 minutes
- Number of lessons: 37
Course headings
Prerequisites for the Zero to GenerativeAI Application Development Mastery course in 2025
- Basics of Python Programming Language
Course images
Sample course video
Installation Guide
After Extract, view with your favorite player.
Subtitles: English
Quality: 720p
Download link
Downloadly
Rapidgator link
File(s) password: www.downloadly.ir
File size
1.2 GB
