What You'll Learn
- Build a solid foundation in Python programming to effectively implement AI concepts and applications.
- Learn how Machine Learning & Deep Learning works
- Learn how transformer models revolutionize NLP tasks, and how to leverage them for various applications.
- Gain hands-on experience with Retrieval-Augmented Generation (RAG) and Langchain for building advanced AI applications.
- Learn how to utilize vector databases for efficient storage and retrieval of embeddings in AI projects.
- Understand the complete pipeline of Natural Language Processing, from data preprocessing to model deployment.
- Explore the essentials of Large Language Models (LLMs) and their applications in generative tasks.
- Develop skills in crafting effective prompts to optimize model performance and achieve desired outputs.
Requirements
- No programming experience is needed.
- A laptop with atleast 8gb memory is recommended (4gb memory is also fine, can use Google Colab as a backup)
- No prior knowledge on SQL, or Machine Learning is needed
Who This Course is For
- Complete beginners willing to jump into the field of Data Science, AI & Gen AI
- Experienced Professionals willing to switch to Data Science, AI & Gen AI
Your Instructor
Satyajit Pattnaik
Lead Data/AI Consultant | YouTuber
4.4 Instructor Rating
2,285 Reviews
36,373 Students
10 Courses
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