Language Models Courses and Certifications

Quick Start Guide to Large Language Models (LLMs): Unit 2

Master optimization, fine-tuning, and AI alignment techniques to customize LLMs for specific needs while balancing performance and cost through advanced prompt engineering.

• Coursera
• 5 hours 24 minutes
• Self-Paced
• Paid Course

Quick Start Guide to Large Language Models (LLMs): Unit 3

Master advanced LLM architectures, multimodal integration, reinforcement learning alignment, fine-tuning optimization, and cloud deployment strategies for high-performing models.

• Coursera
• 8 hours 7 minutes
• Self-Paced
• Paid Course

Pragmatic AI Labs

Large Language Models with Hugging Face

Master LLM deployment, prompt engineering, RAG implementation, and agentic systems using Hugging Face ecosystem for real-world AI applications.

• Coursera
• 7 hours 1 minute
• Self-Paced
• Paid Course

Linguistics for Token Classification in spaCy

Master linguistic concepts and semantic analysis for token classification using spaCy, from syntactic dependencies to custom NLP pipeline components and entity recognition techniques.

• CodeSignal
• 3 hours
• Self-Paced
• Free Certificate

Packt

Natural Language Processing - Probability Models in Python

Master probability-based NLP techniques in Python, from spam detection and sentiment analysis to text summarization and topic modeling, with hands-on implementation of algorithms like Naive Bayes, LDA, and TextRank.

• Coursera
• 6 hours 52 minutes
• Self-Paced
• Paid Course

DSPy Programming

Master DSPy framework fundamentals: install, program, and optimize AI systems using language models, signatures, and modules for advanced reasoning and classification tasks.

• CodeSignal
• 2 hours
• Self-Paced
• Free Certificate

How to optimize with DSPy

Master DSPy optimization through few-shot learning, instruction tuning, and finetuning. Cover data splits, optimizers, and program saving/loading for iterative LM improvement.

• CodeSignal
• 2 hours
• Self-Paced
• Free Certificate

Coursera Career Certificate

Tokens to Deployment: NLP, Language Models, & Production API

Master the complete NLP lifecycle—from tokenization and transformer pipelines to fine-tuning, multimodal ETL, and deploying secure, production-ready APIs using Hugging Face, PyTorch, and more.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 9 courses

Packt

Train Large Language Models Faster - Parallelism Deep Dive

Master parallelism strategies to accelerate large language model training using PyTorch and DeepSpeed across multi-GPU systems with fault tolerance techniques.

• Coursera
• 13 hours 44 minutes
• Self-Paced
• Paid Course

Coursera

Evaluate Language Models: Metrics for Success

Master language model evaluation by combining automated metrics with human-in-the-loop assessment to measure accuracy, safety, and alignment for reliable AI deployment.

• Coursera
• 1 hour 27 minutes
• Self-Paced
• Paid Course

Getting Started with OpenAI Agents in TypeScript

Master OpenAI Agents SDK in TypeScript through hands-on practice building travel assistants, joke-telling bots, and streaming applications with structured outputs and debugging techniques.

• CodeSignal
• 3 hours
• Self-Paced
• Free Certificate

Career Certificate

AI Fundamentals for Government Employees Course

Discover AI fundamentals tailored for government workers, covering core concepts, practical applications, ethics, and regulatory compliance in public sector contexts.

• Graduate School USA
• Self-Paced
• $675.00

OpenAI GPTs: Creating Your Own Custom AI Assistants

788 ratings at Coursera

Learn to create tailored AI assistants using OpenAI's GPT technology. Explore design, implementation, and testing for diverse applications, from personalized tutoring to culinary planning and business management.

• Coursera
• 7 hours 19 minutes
• Self-Paced
• Paid Course

Essentials of Prompt Engineering

983 ratings at Coursera

Learn to craft effective prompts, optimize for various use cases, explore advanced techniques, and identify potential risks in prompt engineering.

• Coursera
• 1 hour 3 minutes
• Self-Paced
• Paid Course

Stanford Seminar - Emerging Risks and Opportunities From Large Language Models

Explore privacy concerns, disinformation risks, and discriminatory shortcuts in large language models. Gain insights on potential harms and brittleness through case studies presented by Stanford's CS professor.

• YouTube
• 58 minutes
• Self-Paced
• Free Video