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Language Models courses 357

Learn Language Models online: university courses, full YouTube courses, and courses with free certificates, from the IITs, MIT, Harvard, Google, Microsoft and more.

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Showing 357 courses

DeepLearning.AI

Building Applications with Vector Databases

4.222 ratings

Vector databases use embeddings to capture the meaning of data, gauge the similarity between different pairs of vectors, and navigate large datasets to identify the most similar vectors. In the context of large language models, the primary use of vector databases is retrieval augmented generation (…

  • Coursera
  • 1 hour
  • Self-paced
  • Paid certificate

Google Cloud

Introduction to Large Language Models - בעברית

זהו קורס מבוא ממוקד שבוחן מהם מודלים גדולים של שפה (LLM), איך משתמשים בהם בתרחישים שונים לדוגמה ואיך אפשר לשפר את הביצועים שלהם באמצעות כוונון של הנחיות. הוא גם כולל הסבר על הכלים של Google שיעזרו לכם לפתח אפליקציות בינה מלאכותית גנרטיבית משלכם.

  • Coursera
  • 35 minutes
  • Self-paced
  • Paid certificate

Google DeepMind

Gemini Capstone Project

This course provides an in-depth exploration of advanced AI agent development, focusing on function calling, tool integration, and orchestrating complex tasks. You will learn to define custom functions to extend the capabilities of large language models, architecting autonomous systems that combine…

  • Coursera
  • 1 total week/3 hours a week
  • Self-paced
  • Paid certificate

Google Cloud

Agent Fundamentals

AI Agents represent a major shift beyond traditional large language models (LLMs). Instead of simply generating text-based solutions, they can also act autonomously to execute them.

  • edX
  • Self-paced
  • Free to audit
  • Paid certificate
  • Beginner

Amazon Web Services

DevOps and AI on AWS: Upgrading Apps with Generative AI

4.637 ratings

Explore the intersection of DevOps and Generative AI on AWS in this hands-on course. Learn to enhance existing applications with powerful AI features using Amazon Bedrock's large language models (LLMs). You'll gain practical experience in implementing customized text generation, mastering prompt en…

  • Coursera
  • 2-4 hours per week
  • Self-paced
  • Paid certificate

IBM

Gen AI Foundational Models for NLP & Language Understanding

4.4211 ratings

This IBM course will equip you with the skills to implement, train, and evaluate generative AI models for natural language processing (NLP) using PyTorch. You will explore core NLP tasks, such as document classification, language modeling, and language translation, and gain a foundation in building…

  • Coursera
  • 2 weeks of study, 4 hours/week
  • Self-paced
  • Paid certificate

Vanderbilt University

ChatGPT for Project Management: Insight, Planning, & Success

4.882 ratings

In "ChatGPT for Project Management: Insight, Planning, & Success," you will learn how to leverage large language models (LLMs) to enhance your project planning and strategy development. This course covers techniques for using LLMs to break down complex projects into manageable tasks, phases, goals,…

  • Coursera
  • 10 hours
  • Self-paced
  • Paid certificate

Microsoft

AI Agent Development

Learn to build sophisticated AI agents programmatically using Semantic Kernel and Azure AI services. This developer-focused course teaches code-first techniques for creating customized, scalable agent solutions.

  • edX
  • Self-paced
  • Free to audit
  • Paid certificate
  • Intermediate

MIT Professional Education

AI System Architecture and Large Language Model Applications

Deepen your understanding of the end-to-end AI system architecture needed to design and deploy large language models (LLMs)—and implement an LLM application of your own during a hands-on group project. THIS COURSE MAY BE TAKEN INDIVIDUALLY OR AS PART OF THE PROFESSIONAL CERTIFICATE PROGRAM IN MACHI…

  • MIT
  • 5 Days
  • Fixed dates
  • Paid certificate

IBM

Generative AI Advanced Fine-Tuning for LLMs

4.4138 ratings

"Fine-tuning large language models (LLMs) is essential for aligning them with specific business needs, improving accuracy, and optimizing performance. In today’s AI-driven world, organizations rely on fine-tuned models to generate precise, actionable insights that drive innovation and efficiency. T…

  • Coursera
  • 2 weeks of study, approx 3–5 hours/week
  • Self-paced
  • Paid certificate

IBM

Agentic AI: MPC

Build secure AI agents with MCP, FastMCP, retrieval-augmented generation, multi-server workflows, and permission-based LLM interaction

  • edX
  • Self-paced
  • Free to audit
  • Paid certificate
  • Intermediate

IBM

Vector Databases: An Introduction with Chroma DB

4.652 ratings

Vector databases provide the solid foundation required by large language models to deliver AI-powered similarity searches and recommendation systems for e-commerce recommendations, cybersecurity fraud detection, medical diagnostics, bioinformatics research, and other complex analysis tasks. Begin l…

  • Coursera
  • 4 hours/ 1 week
  • Self-paced
  • Paid certificate

Google Cloud

Create Generative AI Apps on Google Cloud

Learn how to use prompt design and retrieval augmented generation (RAG) to build powerful generative AI applications using LLMs on Google Cloud.

  • edX
  • Self-paced
  • Free to audit
  • Paid certificate
  • Intermediate

Microsoft

Integrating AI Into Workflows

Develop a strategic roadmap for AI adoption. Learn to identify high-value workflows, distinguish between AI assistants and agents, and implement a phased integration plan that delivers measurable ROI for non-technical leaders.

  • edX
  • Self-paced
  • Free to audit
  • Paid certificate
  • Intermediate

Duke University

End to End LLMs with Azure

This comprehensive course equips you with skills to leverage Azure for building and deploying Large Language Model (LLM) applications. Learn to use Azure OpenAI Service for deploying LLMs, utilizing inference APIs, and integrating with Python. Explore architectural patterns like Retrieval-Augmented…

  • Coursera
  • 4 hours
  • Self-paced
  • Paid certificate

Microsoft

Code and framework based agent development

This course is designed to transition experienced developers into AI agent specialists through intensive, hands-on coding. You'll build production-ready systems by using AI frameworks and integrating advanced language models. You'll benefit by learning to build secure, cost-optimized agents and con…

  • Coursera
  • 2 total weeks/9 hours per week
  • Self-paced
  • Paid certificate

Université de Montréal

ChatGPT pour tous

L'arrivée de l'IA et son impact sur votre travail vous préoccupe? Vous vous demandez comment tirer parti vous-même de l'IA? Vous n'avez pas assez expérimenté avec l'IA jusqu'à aujourd'hui? Vous êtes invités à vous inscrire à GPT101 : ChatGPT pour tous ! Il s'agit d'un cours produit à l'Université d…

  • edX
  • Self-paced
  • Free to audit
  • Paid certificate
  • Beginner

Vanderbilt University

Honors AI Foundations for High School Students

Honors AI Foundations for High School Students Prepare yourself for the AI-driven future. Large language models like ChatGPT, Claude, and Gemini are transforming every field—from science and medicine to business, creative arts, and engineering. They're becoming as essential to your future as smartp…

  • Coursera
  • 2-3 hours/week
  • Self-paced
  • Paid certificate

Duke University

Rust for Large Language Model Operations (LLMOps)

4.315 ratings

Do you aspire to be a Rust developer at the forefront of the AI revolution? This groundbreaking course is designed specifically to train you in Large Language Model Operations (LLMOps) using Rust. This course doesn't just scratch the surface; it takes a deep dive into how you can integrate Rust wit…

  • Coursera
  • 4 weeks of study, 4 hours/week
  • Self-paced
  • Paid certificate

MIT xPRO

Generative AI Playbook: Tools, Real-World Applications, and Governance

The curriculum examines the foundations of generative models, machine learning (ML), and reinforcement learning, connecting these concepts to real-world industry applications. You will explore how large language models (LLMs), retrieval-augmented generation (RAG), emerging AI agents, and agent-driv…

  • MIT
  • 6 Weeks
  • Self-paced
  • Paid certificate

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