Applied Generative AI and Natural Language Processing with Python
English | Tutorial | Size: 2.69 GB
In this 9 hr course, gain a thorough understanding of generative AI and natural language processing (NLP) using Python. From foundational techniques like tokenization and embeddings, to advanced methods such as prompt engineering and retrieval-augmented generation, you’ll learn to harness AI tools with practical examples.
What I will be able to do after this course
Understand the fundamentals of tokenization and word embeddings for NLP.
Develop skills in building and fine-tuning AI models using Huggingface and OpenAI APIs.
Apply sentiment analysis, text summarization, and other common NLP tasks.
Master prompt engineering techniques to customize AI model outputs effectively.
Learn to use vector databases for optimized data retrieval.
Course Instructor(s)
Bert Gollnick is an experienced AI practitioner and educator specializing in generative AI and natural language processing. With years of industry work and teaching experience, Bert brings a rich blend of technical depth and educational clarity to his courses. His approach emphasizes hands-on learning and practical application.
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