Fine-Tuning Courses and Certifications

Edureka

Getting Started with Generative AI

Master foundational and advanced Generative AI concepts, from model architectures to deployment strategies, with hands-on experience in GANs, transformers, LLMs, and optimization techniques.

• Coursera
• 18 hours 57 minutes
• Self-Paced
• Paid Course

H2O.ai

H2O ai Large Language Models (LLMs) - Level 1

Dive into foundational concepts of Large Language Models, exploring neural networks, transformer architecture, and practical applications while mastering pre-training and fine-tuning techniques.

• Coursera
• 1 hour 14 minutes
• Self-Paced
• Paid Course

Machine Learning Rapid Prototyping with IBM Watson Studio

Explore automated AI capabilities for rapid prototyping in machine learning using IBM Watson Studio's AutoAI tool, focusing on data preparation, model selection, and hyperparameter optimization.

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

Introducing Multimodal Llama 3.2

Master the latest Llama 3.1 and 3.2 capabilities, from multimodal vision features to custom tool calling. Build practical applications using the new Llama Stack API and explore advanced image reasoning for real-world scenarios.

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

Packt Career Certificate

AI Engineer Professional

Master advanced AI engineering through model optimization, deep learning architectures, transformers, and MLOps practices for production-ready solutions.

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

Packt Career Certificate

AI & LLM Engineering Mastery - GenAI, RAG Complete Guide

Master AI and LLM engineering through hands-on projects building GenAI applications, RAG systems, chatbots, and fine-tuned models with prompt engineering and API integration.

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

Packt

Foundations of Model Optimization and Deep Learning

Master model optimization and CNNs through hyperparameter tuning, regularization techniques, and hands-on image classification projects using Keras, TensorFlow, and PyTorch.

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

Edureka

Introduction to LLMs and Hugging Face

Discover transformer architecture, attention mechanisms, and Hugging Face tools to build intelligent language-driven systems with hands-on LLM fine-tuning and deployment.

• Coursera
• 10 hours 37 minutes
• Self-Paced
• Paid Course

Whizlabs

NVIDIA: LLM Experimentation, Deployment, and Ethical AI

Master advanced LLM experimentation techniques, deployment strategies, and ethical AI principles using NVIDIA tools. Optimize AI workflows with BioNeMo, Triton, and TensorRT while ensuring responsible development practices.

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

KodeKloud

Introduction to OpenAI

Dive into OpenAI's ecosystem through hands-on projects, mastering text generation, vision capabilities, and advanced features while learning ethical AI implementation and practical applications.

• Coursera
• 8 hours 56 minutes
• Self-Paced
• Paid Course

Working with large language models using Azure

Master generative AI development with Azure, covering LLMs, prompt engineering, RAG pipelines, fine-tuning, and end-to-end application deployment for real-world solutions.

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

Career Certificate

Quick Start Guide to Large Language Models (LLMs)

Master building and deploying GPT, Llama, T5, and BERT at scale with step-by-step guidance, real-world case studies, fine-tuning techniques, and practical applications.

• Coursera
• 4 weeks, 5 hours/week
• Self-Paced
• Paid Course
• 3 courses

Coursera Career Certificate

LLM Engineering That Works: Prompting, Tuning, and Retrieval

Master production-grade LLM engineering covering prompt design, model tuning, retrieval, evaluation, and deployment through hands-on projects for scalable, ethical AI systems.

• Coursera
• Self-Paced
• Paid Course
• 6 courses

Career Certificate

Programming Generative AI

Master deep generative modeling with PyTorch and Hugging Face to build multimodal AI systems that generate text and images from foundational concepts to advanced applications.

• Coursera
• 4 weeks, 5 hours/week
• Self-Paced
• Paid Course
• 3 courses

Coursera

TensorFlow for Beginners: Basic Binary Image Classification

Learn to build and train a neural network for classifying cat and dog images using TensorFlow. Covers data preprocessing, CNN architecture, hyperparameter tuning, and model evaluation techniques.

• Coursera
• 3 hours 12 minutes
• Self-Paced
• Paid Course