What You'll Learn
- Build a solid foundation in Python programming to effectively implement AI concepts and applications.
- Understand the complete pipeline of Natural Language Processing, from data preprocessing to model deployment.
- Learn how transformer models revolutionize NLP tasks, and how to leverage them for various applications.
- Explore the essentials of Large Language Models (LLMs) and their applications in generative tasks.
- Gain hands-on experience with Retrieval-Augmented Generation (RAG) and Langchain for building advanced AI applications.
- Develop skills in crafting effective prompts to optimize model performance and achieve desired outputs.
- Learn how to utilize vector databases for efficient storage and retrieval of embeddings in AI projects.
Requirements
- No pre-requisites
Who This Course is For
- Individuals passionate about AI and ML who want to expand their knowledge and skills in generative AI applications.
- Professionals looking to enhance their expertise in building and deploying generative AI models
- Developers interested in integrating advanced AI capabilities into their applications and learning about the deployment and optimization of AI models.
Your Instructor
Satyajit Pattnaik
Lead Data/AI Consultant | YouTuber
4.5 Instructor Rating
2,845 Reviews
41,927 Students
10 Courses
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