Large Language Models (LLMs) Courses and Certifications

Alberta Machine Intelligence Institute

Hands-On with GenAI Tools and Technologies

Explore GPT-4, DALL-E, and Stable Diffusion through hands-on practice, mastering configuration and creative applications for real-world problem-solving.

• Coursera
• 7 hours 14 minutes
• Self-Paced
• Paid Course

Packt

Building and Fine-Tuning LLM Applications

Master building and fine-tuning LLMs through hands-on projects including PDF RAG systems, voice assistants, and YouTube summarizers using LangChain and LoRA techniques.

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

Knowledge Accelerators

ChatGPT for Work: Productivity & Automation with Custom GPTs

Master ChatGPT for work with beginner-friendly workflows covering prompt crafting, writing, planning, Custom GPTs, and automation—applicable across roles with clear guidance on free vs. paid features.

• Coursera
• 2 hours 47 minutes
• Self-Paced
• Paid Course

Packt

Master AI Agents – Build Leads from Scratch

Master building autonomous AI agents from scratch using N8N automation, prompt engineering, and multi-agent workflows for lead generation and business task automation.

• Coursera
• 15 hours 36 minutes
• Self-Paced
• Paid Course

Board Infinity

Mastering DeepSeek: From Architecture to Application

Master DeepSeek's architecture, deployment, and practical applications through hands-on training. From API integration to RAG pipelines, coding workflows, and model fine-tuning for developers and AI enthusiasts.

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

Edureka

Fine-Tuning & Optimizing Large Language Models

Master parameter-efficient fine-tuning, context engineering, and deployment strategies for large language models using modern tools like Hugging Face and LoRA adapters.

• Coursera
• 13 hours 45 minutes
• Self-Paced
• Paid Course

Packt

Machine Learning for Absolute Beginners - Level 1

Discover foundational machine learning concepts, AI applications, and generative AI through hands-on examples, covering supervised learning, neural networks, and real-world challenges.

• Coursera
• 7 hours 21 minutes
• Self-Paced
• Paid Course

Edureka

Deploy AI Agents with OpenAI

Master multi-agent AI deployment with OpenAI tools, building scalable systems that communicate, coordinate, and execute tasks through cloud-ready interfaces and secure workflows.

• Coursera
• 7 hours 17 minutes
• Self-Paced
• Paid Course

Scrimba

Build a Movie Recommendation App with OpenAI

Develop an AI-powered movie recommendation app using OpenAI embeddings and vector databases. Create personalized suggestions based on user preferences and moods for individuals or groups.

• Coursera
• 4 hours 35 minutes
• Self-Paced
• Paid Course

Board Infinity

DeepSeek Essentials: From Foundations to Real-World Use

Master DeepSeek's open-source AI models through hands-on exploration of technical foundations, integration methods, and real-world applications across development, data science, and business operations.

• Coursera
• 4 hours 51 minutes
• Self-Paced
• Paid Course

Packt

Copilot in Microsoft 365 for Beginners

Master AI-powered productivity by harnessing Microsoft Copilot across Excel, Word, PowerPoint, Outlook, and Teams to automate tasks, enhance collaboration, and streamline workflows.

• Coursera
• 4 hours 30 minutes
• Self-Paced
• Paid Course

Packt

Generative AI with Python

Unlock the power of generative AI through hands-on Python development, mastering LLMs, RAG systems, vector databases, and advanced agentic frameworks for real-world applications.

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

Coursera

Designing Production LLM Architectures

Master production-ready LLM system design, from architecture decisions to scalable microservices, deployment strategies, and automated data pipelines for real-world applications.

• Coursera
• 10 hours 45 minutes
• Self-Paced
• Paid Course

Gen AI Using Hugging Face Training

Master speech-to-text, sentiment analysis, and text generation using Hugging Face transformers to build scalable NLP applications in just over 2 hours.

• Coursera
• 2 hours 10 minutes
• Self-Paced
• Paid Course

Packt

Natural Language Processing - Transformers with Hugging Face

Master Hugging Face Transformers for NLP tasks including sentiment analysis, text generation, and named entity recognition through hands-on Python implementations and real-world applications.

• Coursera
• 5 hours 53 minutes
• Self-Paced
• Paid Course