Fine-Tuning Courses and Certifications

Finetuning Large Language Models

618 ratings at Coursera

Learn essential concepts and techniques for finetuning large language models using your own data, enabling you to optimize performance and produce transformative results in natural language processing tasks.

• Coursera
• 1 hour 30 minutes
• Self-Paced
• Paid Course

MLOps Tools: MLflow and Hugging Face

67 ratings at Coursera

Explore MLflow and Hugging Face for MLOps, covering model tracking, deployment, fine-tuning, and cloud integration. Gain practical skills in managing ML workflows and creating interactive demos.

• Coursera
• 1 day 1 hour 53 minutes
• Self-Paced
• Paid Course

Open Source LLMOps Solutions

26 ratings at Coursera

Gain hands-on experience deploying open-source LLMs, from understanding fundamentals to fine-tuning models and building AI applications using a code-first approach.

• Coursera
• 1 day 12 hours 14 minutes
• Self-Paced
• Paid Course

Introduction to Generative AI and LLMs

8049 ratings at Udemy

Jumpstart your Generative AI career by learning about LLMs, ChatGPT, Prompts, Fine Tuning, RAG, RLHF, Certs and more

• Udemy
• 3 hours 24 minutes
• Self-Paced
• Paid Course

[2026] Complete AWS Bedrock Generative AI Course + Projects

5886 ratings at Udemy

Multi Agents, Document Chat, Image Diffusion, Reinforcement Fine-Tuning, Voice Agents, Agent Memory, AgentCore + more

• Udemy
• 14 hours 32 minutes
• Self-Paced
• Paid Course

AWS Certified Machine Learning Engineer Associate: Hands On!

4956 ratings at Udemy

Practice exam included! Master MLA-C01 / ME1-C01 AWS Machine Learning Engineer Exam: SageMaker, Bedrock, and AI Skills.

• Udemy
• 23 hours 26 minutes
• Self-Paced
• Paid Course

Generative AI Architectures with LLM, Prompt, RAG, Vector DB

4340 ratings at Udemy

Design and Integrate AI-Powered S/LLMs into Enterprise Apps using Prompt Engineering, RAG, Fine-Tuning and Vector DBs

• Udemy
• 7 hours 20 minutes
• Self-Paced
• Paid Course

Classification and Planned Experiments

Master classification techniques like K-nearest neighbor and logistic regression, plus experimental design principles for causal analysis using R and Python.

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

Data Science: Supervised Machine Learning in Python

3554 ratings at Udemy

Full Guide to Implementing Classic Machine Learning Algorithms in Python and with Scikit-Learn

• Udemy
• 6 hours 25 minutes
• Self-Paced
• Paid Course

HuggingFace

Hugging Face Course - Data Processing and Fine-tuning Techniques - Chapter 7

Master data processing techniques for NLP tasks including token classification, language modeling, translation, summarization, and question answering with Hugging Face.

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

Prompt Engineering Frameworks & Methodologies

3076 ratings at Udemy

Master Proven Techniques to Design, Tune, and Evaluate High-Performing Prompts for LLMs

• Udemy
• 3 hours 10 minutes
• Self-Paced
• Paid Course

Azure OpenAI Services - The Complete Guide

3059 ratings at Udemy

Leverage the power and security of Azure to enhance the creative capabilities of ChatGPT and other OpenAI models

• Udemy
• 3 hours 46 minutes
• Self-Paced
• Paid Course

No-Code Machine Learning: Practical Guide to Modern ML Tools

2515 ratings at Udemy

Build Powerful Machine Learning Models w/Zero Coding! Master Google Vertex AI, Microsoft Azure ML Designer, & DataRobot

• Udemy
• 6 hours 30 minutes
• Self-Paced
• Paid Course

Modern Applications of Generative AI

Explore how generative AI behavior is shaped through prompting, RLHF, reasoning scaffolds, and tool use, and apply these insights across real-world domains with ethical awareness.

• Coursera
• 9 hours
• Self-Paced
• Paid Course

Advances in Generative AI

Explore how generative AI evolves into autonomous, goal-driven systems. Learn to evaluate, orchestrate, and responsibly deploy AI agents, multi-model workflows, and emerging research in real-world applications.

• Coursera
• 9 hours
• Self-Paced
• Paid Course