Udemy – 19 Generative AI Real Time Projects End to End 2024-9

Published on: 2024-10-07 21:58:29

Categories: 28

Description

19 Generative AI Real Time Projects End to End is a practical generative artificial intelligence training course published by Udemy Online Academy. 19 Generative AI Real Time Projects End to End is a hands-on, project-based course that allows individuals to gain in-depth experience in generative AI through hands-on application. This course covers key artificial intelligence techniques such as deep learning, neural networks, GANs (generative adversarial networks) and transformers with a focus on solving real-world problems. Participants will work on 19 end-to-end projects, using AI models in tasks such as image generation, text creation, video compositing, and other creative fields. The course also emphasizes the complete AI development workflow, from data preprocessing and model training to deployment and performance optimization.

This course covers deep learning, GANs, neural networks, and transformers, with 19 real-time projects focusing on image generation, text creation, and video synthesis. Learners will work through all stages of AI development, from data pre-processing to deployment, building a comprehensive suite by the end of the course. This course equips them with practical expertise in generative artificial intelligence in various applications. At the end, learners will have a series of productive AI projects that demonstrate their expertise in designing and implementing AI solutions in various industries.

What you will learn in 19 Generative AI Real Time Projects End to End:

Developing practical skills in building and deploying artificial intelligence applications using LLM models
Use of different data sets
Using LLM, VectorDB, Langchain, LlamaIndex, Flask, Streamlit, Chainlit, etc
Gain practical experience in LLMOps
and…

Course specifications

Publisher: Udemy
Instructors: Boktiar Ahmed Bappy
Language: English
Level: Introductory to Advanced
Number of Lessons: 18
Duration: 6 hours and 23 minutes

Course topics on 2024/10

19 Generative AI Real Time Projects End to End Content

19 Generative AI Real Time Projects End to End Prerequisites

Proficiency in Python Programming: Strong understanding of Python syntax and experience with data manipulation libraries (NumPy, Pandas).
Basic Deep Learning Knowledge: Familiarity with neural networks, backpropagation, and concepts like CNNs and RNNs.
Experience with ML Frameworks: Hands-on experience using TensorFlow, PyTorch, or Keras for model development and training.
Mathematics Foundation: Knowledge of linear algebra, calculus, and probability for comprehending model architecture.