What will you learn in this Generative AI Engineering with LLMs Specialization Course
Develop in-demand, job-ready skills in generative AI, natural language processing (NLP) applications, and large language models (LLMs) within three months.
Tokenize and load text data to train LLMs, deploying models such as Skip-Gram, CBOW, Seq2Seq, RNN-based, and Transformer-based architectures using PyTorch.
Employ frameworks and pre-trained models like LangChain and Llama for training, developing, fine-tuning, and deploying LLM applications.
Implement question-answering NLP systems by preparing, developing, and deploying NLP applications using Retrieval-Augmented Generation (RAG).
Program Overview
Generative AI and LLMs: Architecture and Data Preparation
⏳ 20 hours
- Introduction to generative AI concepts, LLM architectures, and data preparation techniques.
Generative AI with Large Language Models
⏳ 29 hours
- Exploration of transformer architectures, model training, and fine-tuning methods.
Generative AI Advanced Fine-Tuning for LLMs
⏳ 22 hours
- Advanced techniques for fine-tuning LLMs, including instruction-tuning and reinforcement learning.
Building Generative AI Applications with LLMs
⏳ 20 hours
- Hands-on projects for developing and deploying generative AI applications.
Generative AI Capstone Project
⏳ 29 hours
- A comprehensive project to apply learned skills in a real-world scenario.
Ethics and Responsible AI
⏳ 22 hours
- Understanding ethical considerations and responsible AI practices.
Career Planning and Job Search Strategies
⏳ 29 hours
- Guidance on career development and job search strategies in the AI field.
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Job Outlook
Equips learners with practical skills for roles such as AI Engineer, NLP Engineer, Machine Learning Engineer, Deep Learning Engineer, and Data Scientist.
Provides hands-on experience with LLMs, beneficial for professionals aiming to work with generative AI technologies.
Enhances qualifications for positions requiring expertise in AI model development, fine-tuning, and deployment.
Specification: Generative AI Engineering with LLMs Specialization
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