Model Tuning Courses and Certifications

Coursera Credential

LLM Engineering That Works: Prompting, Tuning, and Retrieval

Master production-grade LLM systems through hands-on engineering, from prompt design to deployment, evaluation, and ethical AI practices for scalable applications.

• Coursera
• 8 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 6 courses

Starweaver

GenAI Model Development and Production Engineering

Master advanced fine-tuning techniques like LoRA, architect bulletproof deployment infrastructure, and build production GenAI systems that scale reliably to millions of users.

• Coursera
• 10 hours 38 minutes
• Self-Paced
• Paid Course

Coursera Credential

Eyes on AI - Computer Vision Engineering

Master computer vision engineering by building, optimizing, and deploying AI systems for real-world applications like autonomous vehicles and medical imaging using PyTorch and MLOps practices.

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

H2O.ai

H2O Hydrogen Torch Starter Course

Master deep learning without coding - build computer vision, NLP, and audio models using H2O Hydrogen Torch. Learn dataset handling, model tuning, and real-world applications through hands-on experimentation.

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

H2O.ai

H2O Gen AI Ecosystem Overview - Level 1

Master the H2O GenAI ecosystem through hands-on training in LLM optimization, model evaluation, and AI app development. Build custom GPT models, create web applications, and deploy practical AI solutions.

• Coursera
• 8 hours 32 minutes
• Self-Paced
• Paid Course

Coursera

Forecast Business Metrics: Uncover Value Drivers

Master supervised learning to forecast business metrics like EBITDA using Python, regression models, and explainable AI techniques for actionable insights.

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

Coursera

Advancing Your Career in Computer Vision Engineering

Unlock career opportunities in computer vision by translating technical skills into portfolio artifacts, resume achievements, and confident interview communication for early-career AI engineers.

• Coursera
• 33 minutes
• Self-Paced
• Paid Course

Introduction to Vertex AI Studio

Learn to interact with generative AI models and prototype business ideas with Vertex AI Studio, covering prompt design, prompt engineering, and model tuning.

• edX
• 5 weeks, 5-6 hours/week
• Self-Paced
• Free Online Course (Audit)

Python Engineer

HuggingFace Crash Course - Sentiment Analysis, Model Hub, Fine Tuning

Comprehensive introduction to HuggingFace and Transformers library, covering sentiment analysis, Model Hub exploration, and fine-tuning techniques for NLP tasks.

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

AI Bites

LoRA: Low-Rank Adaptation for Parameter-Efficient Large Language Model Fine-Tuning

Discover how LoRA enables efficient fine-tuning of large language models through low-rank adaptation, from fundamental concepts to practical implementation in transformer architectures.

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

1littlecoder

Creating Your Own Flux AI Model with LoRA Fine-Tuning

Learn to create and fine-tune a custom Flux AI model using LoRA, including dataset preparation, cost-effective training on Replicate, and generating AI images with your personalized model.

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

OCI AI Foundations Associate 1Z0-1122 Exam Preparation

557 ratings at Udemy

Artificial Intelligence(AI) Fundamentals /Machine Learning /Deep Learning/Gen-AI /OCI AI Infrastructure /OCI AI Services

• Udemy
• 5 hours 4 minutes
• Self-Paced
• Paid Course

AWS Certified Machine Learning Specialty Practice Exams

443 ratings at Udemy

AWS Certified Machine Learning Practice Tests w/ Complete Explanations and References that covers all MLS-C01 topics!

• Udemy
• Self-Paced
• Paid Course

Nicholas Renotte

How to Hack a Large Language Model Using PyReft - Fine-Tuning with Custom Data

Learn to fine-tune large language models with PyReft, using your own data to customize and enhance AI performance for specific tasks and domains.

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

Roboflow

Fine-tuning Florence-2: Microsoft's Multimodal Model for Custom Object Detection

Comprehensive guide to fine-tuning Florence-2 for custom object detection, covering environment setup, dataset preparation, and model optimization using LoRA, with practical examples and performance comparisons.

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