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Learn Language Models online: university courses, full YouTube courses, and courses with free certificates, from the IITs, MIT, Harvard, Google, Microsoft and more.
Pearson
This course explores building novel architectures tailored to unique challenges. You'll gain hands-on experience in building custom multimodal models that integrate visual and textual data, and learn to implement reinforcement learning for dynamic response refinement. Through practical case studies…
Pragmatic AI Labs
Build and deploy a production serverless multi-model Artificial Intelligence (AI) system on Amazon Web Services (AWS) that integrates Amazon Bedrock and Ollama for cloud and local Large Language Model (LLM) execution. This capstone course, the final course in the Applied AI Engineering specializati…
Pragmatic AI Labs
Master the complete fine-tuning pipeline—from transformer internals to production deployment—using memory-efficient techniques that run on consumer hardware. This course transforms you from someone who uses large language models into someone who customizes them. You'll learn to fine-tune 7-billion…
Simplilearn
This LangChain for Generative AI course equips you with the skills to build and deploy reasoning-driven applications using large language models. Begin with the foundations—understand the background, key concepts, and architecture of the LangChain framework, including components like memory, chains…
Pragmatic AI Labs
Identify, analyze, and defend against the security vulnerabilities that arise when Large Language Models (LLMs) are integrated into production applications. This course begins with how LLMs function in applications—tokenization, next-token prediction, and the architectural patterns that determine a…
Pragmatic AI Labs
Master the essential skills to build production-ready applications powered by large language models in this course. You'll learn to control text generation with precision using sampling parameters and stopping criteria, design effective prompts with chat templates for instruction-tuned models, buil…
Pragmatic AI Labs
Build an AI-powered code review bot from scratch and publish it to the GitHub Marketplace. This hands-on course walks you through the complete lifecycle of creating a GitHub Action that uses Large Language Models to automatically review pull requests and provide actionable feedback on code quality.…
Simplilearn
This comprehensive Prompt Engineering course equips you with the skills to design, optimize, and scale effective prompts for generative AI and large language models. Begin by mastering the structure of prompts, learn how to use key elements like instructions, context, input data, and output indicat…
Simplilearn
This LLM Fine-Tuning course equips you with the skills to optimize and deploy domain-specific large language models for advanced Generative AI applications. Begin with foundational concepts—learn supervised fine-tuning, parameter-efficient methods (PEFT), and reinforcement learning with human feedb…
Simplilearn
This comprehensive course on Evaluating and Applying LLM Capabilities equips you with the skills to analyze, implement, and assess large language models in real-world scenarios. Begin with core capabilities, learn summarization, translation, and how LLMs power industry-relevant content generation.…
Edureka
This course covers vision-language models and multi-agent coordination: how agents interpret images alongside text and divide work between them. Together they take an agent beyond single inputs. You explore how vision-language models such as CLIP, BLIP, and LLaVA align images with text, and use tho…
Coursera
Selecting the appropriate architecture for a large language model (LLM) application is a critical decision for any technical team, influencing costs, performance, and security. The course "Design, Compare and Analyze LLM Architectures" is tailored for engineers, architects, and technical leads invo…
Coursera
This course is for ML engineers, solutions architects, and senior developers who build robust infrastructure powering large language models. This course teaches you how to design, deploy, and maintain the complex, interconnected systems required for scalable, resilient, and cost-effective LLM appli…
Edureka
This program equips cybersecurity professionals, AI engineers, and security architects with the expertise to identify, analyze, and mitigate vulnerabilities in Generative AI (GenAI) and Large Language Models (LLMs). You’ll begin by exploring the foundations of GenAI threats, examining common attack…
Coursera
The focus of this course is to equip learners with the skills and knowledge to design, develop, and optimize advanced large language model (LLM) solutions using LLama2. Topics covered will include a comprehensive understanding of LLM architectures, techniques for fine-tuning LLMs, retrieval-augment…
Coursera
Dive deep into the dynamic and increasingly intertwined realms of the Metaverse and Large Language Models (LLMs)! To such an end, the course introduces "Inworld," a cutting-edge platform that shortens the way for the creation of responsive and expressive non-playable characters (NPCs). Through a un…
Coursera
"Understand RAG Basics" is an intermediate course for developers and data scientists who want to build more powerful and trustworthy AI applications. While Large Language Models (LLMs) are revolutionary, they often lack specific, up-to-date knowledge and can hallucinate answers. This 2-hour course…
Board Infinity
Agent Foundations and Prompt Engineering is designed for learners eager to master the emerging field of AI agents and advanced prompt engineering. You'll learn how to design, build, and deploy intelligent AI agents using large language models (LLMs), craft high-quality prompts for various tasks, an…
Edureka
This course guides you through the core concepts behind neural language models and machine translation, focusing on how RNNs, attention, and transformers enable powerful NLP applications used in today’s AI systems. Through hands-on exercises, you’ll learn to build, fine-tune, and evaluate neural mo…
Edureka
Pretrained AI models provide an excellent starting point, but real-world AI applications often require them to be adapted for specific tasks and domains. In this course, you will learn the practical techniques used to prepare high-quality datasets, fine-tune large language models, optimize training…
