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Intro to Large Language Models (LLMs) (Udemy.com)

Transform Your LLMs Knowledge From an Interested Field Observer to a Well-equipped NLP Developer

Created by: 365 Careers

Last updated March 2026

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What you will learn

  • Transformer architecture fundamentals
  • Concepts of attention and self-attention
  • Utilizing OpenAI's API
  • Text embeddings in LLMs
  • Introduction to LangChain
  • Exploring Hugging Face's tools

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Course Description

Do you want to learn about Large Language Models and AI?

Are you ready to dive into the world of Artificial Intelligence and develop skills that are in high demand across various industries?

Our Introduction to Large Language Models course is your gateway to understanding and leveraging the capabilities of AI to revolutionize how we interact with technology.

Why Learn About Large Language Models?

In recent years, Large Language Models (LLMs) like GPT, BERT, and XLNet have revolutionized the tech industry, driving innovation in everything from conversational AI to cutting-edge text analysis. These models are not just tools—they are the backbone of modern AI applications, empowering businesses to automate processes, enhance customer experiences, and derive insights from massive datasets.

By understanding how LLMs work, you can unlock the power to create personalized AI interactions, enhance productivity with automated workflows, and drive data-driven decision making. From improving customer service with smarter virtual assistants to automating complex data extraction tasks, the possibilities are endless.

Course Curriculum at a Glance:

  1. Introduction to LLMs: Explore the capabilities and functions of state-of-the-art language models.

  2. The Transformer Architecture: Understand the groundbreaking architecture that powers most modern LLMs.

  3. Getting Started with GPT Models: Dive into generating text and building applications using GPT.

  4. Hugging Face Transformers: Learn to use one of the most popular platforms for deploying LLMs.

  5. Question and Answer Models with BERT: Create sophisticated QA systems using BERT.

  6. Text Classification with XLNet: Tackle complex text classification tasks with advanced techniques.

What Will You Gain?

This course is designed not just to teach you the theory but to equip you with practical skills through:

  • Engaging Video Lessons: Delivered by industry experts, these lessons break down complex concepts into digestible segments

  • Hands-On Coding Exercises: Apply what you learn in real-world scenarios, from building chatbots to text analysis

  • Comprehensive Coverage: From the basics of what LLMs are to the intricacies of transformer architecture and fine-tuning models for specific tasks

  • Project-Based Learning: Implement LLMs in your own projects, fine-tune models for unique data sets, and solve practical NLP tasks

Take the Next Step in Your AI Journey

Enroll now and start transforming your understanding of AI and your career trajectory with our expert-led Large Language Models course. Whether you're looking to innovate in your current role or pivot to a completely new field, mastering LLMs will give you a competitive edge in the fast-evolving tech landscape.

Click "Buy Now" to join us today and become a part of the AI revolution!

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Instructor Details

365 Careers

365 Careers is the #1 best-selling provider of business, finance, data science and AI courses on Udemy. The company’s courses have been taken by more than 4,000,000 students in 210 countries. People working at world-class firms like Apple, PayPal, and Citibank have completed 365 Careers trainings.    

Currently, 365 focuses on the following topics on Udemy:    1) Finance – Finance fundamentals, Financial modeling in Excel, Valuation, Accounting, Capital budgeting, Financial statement analysis (FSA), Investment banking (IB), Leveraged buyout (LBO), Financial planning and analysis (FP&A), Corporate budgeting, applying Python for Finance, Tesla valuation case study, CFA, ACCA, and CPA

2) Data science – Statistics, Mathematics, Probability, SQL, Python programming, Python for Finance, Business Intelligence, R, Machine Learning, TensorFlow, Tableau, the integration of SQL and Tableau, the integration of SQL, Python, Tableau, Power BI, Credit Risk Modeling, and Credit Analytics, Data literacy, Product Management, Pandas, Numpy, Python Programming, Data Strategy

3) Entrepreneurship – Business Strategy, Management and HR Management, Marketing, Decision Making, Negotiation, and Persuasion, Tesla's Strategy and Marketing

4) Office productivity – Microsoft Excel, PowerPoint, Microsoft Word, and Microsoft Outlook

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Reviews

4.5

10,894 ratings on Udemy

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By Stacy Cochran on 8/31/2026

The instructor was very easy to understand. A lot of good information in a short period of time.

By Jason A. on 8/28/2026

This course attempts to cover a substantial amount of material in a relatively short period of time. As a result, the topics presented in each section provide only a high-level introduction. Coming from a machine learning background, I found the explanations easy to follow. However, learners without a foundation in linear algebra, particularly concepts such as dot products, or a basic understanding of machine learning may find some of the material challenging. Overall, the course provided a useful introduction to several concepts related to large language models (LLMs). However, due to its limited duration and high-level coverage, I plan to pursue a more in-depth course to further expand my understanding of LLMs.

By NEKKANTI NAGA MOULIKA on 8/27/2026

it's a good course so far, the flow of learning LLM, architecture and examples are pretty understandable and can relate with real world scenarios, problems.

By Sruthi Orugu on 8/27/2026

This course is very helpful for beginners. Explained LLMs concepts in simple and clear way. Very good for understanding basics of LLMs, BERT and XLNet. Thank you!

By Harsha Vardhini Perumalla on 8/26/2026

I learned that how to use LLMs in applications and gained practical knowledge that can be useful for future AI projects and career opportunities

By Timothy Stevenson on 7/27/2026

Slightly higher technical level that I was expecting (not a Python person, I do my AI work with JS and PHP). but very good content, explanations and examples.

By PIERO LUIGI PEZZULO on 6/23/2026

Excellent introductory course, effective for building a solid foundation but not sufficient on its own for advanced adoption or specialized development.

By Anjali Rathee on 6/19/2026

I found the concepts easy to follow, and it helped me connect AI capabilities with practical use cases in my role. Overall, it was a valuable learning experience that has enhanced my perspective on leveraging AI effectively in day-to-day work.

By Hussain Shide on 6/11/2026

I just completed this course and it was a fantastic introduction to Large Language Models. The content was well-structured and easy to follow, even for someone coming in with limited prior knowledge. I now have a solid understanding of how LLMs work, their capabilities, and their limitations. Highly recommend it to anyone looking to get started in this field!

By Anand Ramchandran on 5/17/2026

New Process with AI Integration Flowchart (AI-Enabled Process): Employee submits leave request via AI chatbot/app AI checks leave balance and company policy automatically AI routes request to manager (if required) AI auto-approves simple requests based on rules Manager only reviews complex cases (if needed) AI updates HR system instantly Employee receives real-time notification ✅ Benefits of AI Integration Faster processing time Reduced manual effort Fewer errors Better employee experience Increased efficiency and productivity By integrating AI, the leave process becomes faster, automated, and more accurate, reducing workload for HR and managers while improving user experience.

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Overall Score : 90 / 100