19 Generative AI Real Time Projects End to End
Published 10/2024
Duration: 6h23m | .MP4 1920×1080, 30 fps(r) | AAC, 44100 Hz, 2ch | 5.44 GB
Master Generative AI with 20+ Real-World Projects: Build, Deploy & Scale End-to-End Solutions
What you’ll learn
Develop practical skills in building and deploying generative AI applications using LLM models.
Create diverse applications leveraging the power of these LLM models.
End-to-end Projects Using LLM, VectorDB, Langchain, LlamaIndex, Flask, Streamlit, Chainlit and so on.
Gain hands-on experience in LLMOps
Master Google Vertex AI & AWS Bedrock for Generative AI Project Implementation
Requirements
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.
Description
Welcome to the ultimate hands-on course on
Generative AI
, where theory meets practice through a series of
20+ real-world projects
! This course is meticulously crafted to help you master cutting-edge Generative AI models like
, and more by building complete, end-to-end solutions from scratch.
Throughout the course, you’ll work on projects spanning a wide range of domains, including
natural language processing, image synthesis, video generation, code completion, music composition, and creative design
. Each project is carefully structured to take you through every stage of the development process-
from data collection and preprocessing to model building, optimization, and deployment strategies
.
source codes, project files, quizzes, and interactive exercises
to help reinforce your learning.
Who this course is for:
AI Enthusiasts & Beginners: Individuals looking to explore and build a solid foundation in Generative AI through practical projects.
Data Scientists & Machine Learning Engineers: Professionals wanting to expand their skillset by implementing advanced AI models.
Software Developers: Developers interested in transitioning to AI roles and building real-world AI applications.
Researchers & Academics: Those looking to apply Generative AI techniques in research or academic projects.
