What will you learn in this Generative AI Engineering with LLMs Specialization Course
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Develop in-demand, job-ready skills in generative AI, natural language processing (NLP) applications, and large language models (LLMs) within three months.
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Tokenize and load text data to train LLMs, deploying models such as Skip-Gram, CBOW, Seq2Seq, RNN-based, and Transformer-based architectures using PyTorch.
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Employ frameworks and pre-trained models like LangChain and Llama for training, developing, fine-tuning, and deploying LLM applications.
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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
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Equips learners with practical skills for roles such as AI Engineer, NLP Engineer, Machine Learning Engineer, Deep Learning Engineer, and Data Scientist.
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Provides hands-on experience with LLMs, beneficial for professionals aiming to work with generative AI technologies.
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Enhances qualifications for positions requiring expertise in AI model development, fine-tuning, and deployment.
Explore More Learning Paths
Enhance your generative AI and LLM expertise with these specialized programs designed to teach prompt engineering, AI model deployment, and advanced AI engineering skills.
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IBM Generative AI Engineering Professional Certificate Course – Gain in-depth knowledge of generative AI engineering, including model deployment, fine-tuning, and practical applications.
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IBM AI Engineering Professional Certificate Course – Build comprehensive AI engineering skills, including large language model integration and AI-driven solution development.
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What Is Data Science? – Explore the role of data science in AI development, including the skills required for building and managing AI models.
