Fine-Tuning Courses and Certifications

Packt Credential

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

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

Credential

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

Pragmatic AI Labs

Open Source LLMOps

Unlock Open Source AI: Dive into LLM Architectures, Fine-Tuning, and Cutting-Edge Deployments.

• edX
• 4 weeks, 3-6 hours/week
• Self-Paced
• Free Online Course (Audit)

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

Packt Credential

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

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

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

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

Coursera

ML Parameters Optimization: GridSearch, Bayesian, Random

Optimize ML regression models using grid search, random search, and Bayesian optimization techniques for fine-tuning hyperparameters and improving model performance on datasets.

• Coursera
• 1 hour 56 minutes
• Self-Paced
• Paid Course

Introduction to Transformer Models for NLP: Unit 1

Explore transformer architectures, attention mechanisms, and transfer learning with BERT and GPT models for advanced NLP applications using PyTorch.

• Coursera
• 3 hours 25 minutes
• Self-Paced
• Paid Course

Credential

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

Improving Diagnostic Accuracy with GenAI

Master practical GenAI applications in healthcare diagnostics, from prompt engineering to multimodal data integration, enhancing diagnostic accuracy and patient outcomes through existing AI tools and workflows.

• Coursera
• 3 hours 16 minutes
• Self-Paced
• Paid Course

Coursera Credential

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

Pragmatic AI Labs Credential

Next-Gen AI Development with Hugging Face

Master building, deploying, and scaling AI applications using Hugging Face's ecosystem through hands-on projects that run locally without cloud costs.

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