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2Month/20 Hour Price:125,000
120,000
Large Language Models Professional Certificate
Course Objectives:
Gain a deep understanding of how large language models (LLMs) workDevelop and fine-tune LLMs for specific business or research use cases
Learn prompt engineering and optimization for model performance
Understand how to deploy and integrate LLMs into real-world applications
Explore ethical considerations and responsible AI practices when working with LLMs
Module 1: Introduction to Large Language Models
History and Evolution of LLMs:Evolution from traditional NLP to transformer architectures
Milestones in LLM development (e.g., GPT, BERT, T5)
How LLMs Work:Understanding the transformer architecture
Self-attention mechanism and multi-head attention
Training on large-scale datasets: Transfer learning and fine-tuning
Hands-on Lab:
Experiment with a pre-trained transformer model using Hugging Face
Module 2: Working with Pre-trained Language Models
Overview of GPT, BERT, T5, and others
Loading and Using Pre-trained Models:
Understanding tokenizers and model input/output formats
Practical examples of text generation and classification
Case Study:
Using GPT for content generation and BERT for text classification
Overview of domain-specific fine-tuning
Datasets required for fine-tuning
Layer freezing and unfreezing strategies
Hyperparameter tuning during fine-tuning
Hands-on Lab:
Fine-tuning BERT for sentiment analysis on a custom dataset
Module 4: Prompt Engineering and Optimization
Understanding Prompts and Their Role:Creating effective prompts for LLMs to optimize outputs
Advanced Prompting Techniques:
Iterative prompt development and optimization
Hands-on Lab:
Using OpenAI’s GPT API with optimized prompts for various tasks (e.g., Q&A, text completion)
Module 5: Building End-to-End Applications with LLMs
LLM Use Cases Across Industries:Chatbots, virtual assistants, content creation, code generation, and healthcare applications
Integration of LLMs into Applications:Using APIs to connect LLMs with other tools
Building scalable applications using LLMs in backend systems
Hands-on Lab:
Developing a chatbot using GPT-3 and integrating it into a web application
Module 6: Deploying and Scaling LLM Applications
Deployment Strategies:Best practices for integrating LLMs into production environments
Scaling and Performance Optimization:
Using caching, model compression, and distributed inference for scalability
Hands-on Lab:
Deploying an LLM application on AWS or Azure using containers
Module 7: Advanced LLM Techniques
Chain-of-Thought Reasoning:Implementing few-shot reasoning and task-based instructions
LLM Fine-tuning for Specific Domains: Fine-tuning techniques for medical, legal, and finance domains
Managing ethical challenges in domain-specific models
Hands-on Lab:
Fine-tuning a language model for a specialized industry use case
Module 8: Ethical Considerations and Responsible AI
Understanding Bias in LLMs:Methods for mitigating bias and ensuring fairness
Ethical Use of LLMs:Responsible AI practices in development and deployment
Transparency, explainability, and data privacy concerns
Case Study:
Identifying and mitigating bias in LLM-generated outputs
Prerequisites
Proficiency in programming languages like PythonBasic understanding of machine learning concepts
Career Path After Completion:
Upon completing this professional certificate, learners will have the skills to pursue careers in:
AI Engineer:Design and develop applications powered by large language models.
NLP Engineer:
Specialize in natural language processing and develop LLM-based solutions.
Conversational AI Developer:
Build chatbots, virtual assistants, and AI-driven customer support systems.
Data Scientist (NLP):
Leverage LLMs for tasks like text
Job Interview Preparation (Soft Skills Questions & Answers)
Tough Open-Ended Job Interview QuestionsWhat to Wear for Best Job Interview Attire
Job Interview Question- What are You Passionate About?
How to Prepare for a Job Promotion Interview
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Flexible Class Options
Week End Classes For Professionals SAT | SUNCorporate Group Training Available
Online Classes – Live Virtual Class (L.V.C), Online Training
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