Fine-Tuning Courses and Certifications

Coursera

GenAI Prompting, Evaluation, and Governance

Master systematic evaluation and governance of generative AI systems in production, from performance monitoring to risk management frameworks for enterprise deployment.

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

Packt Credential

Azure ML Bootcamp: Machine Learning on the Cloud

Master Azure Machine Learning from foundations to advanced MLOps deployment, building and operationalizing models with hands-on cloud experience and real-world applications.

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

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

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

Alberta Machine Intelligence Institute

Building and Deploying Generative AI Models

Master building, deploying, and scaling Transformer models, RAG systems, and autonomous AI agents from scratch using PyTorch, LangChain, and Google Cloud Platform.

• Coursera
• 13 hours 43 minutes
• Self-Paced
• Paid Course

Whizlabs

AWS: Model Training , Optimization & Deployment

Master AWS machine learning workflows through SageMaker algorithms, hyperparameter tuning, and scalable deployment strategies for the MLA-C01 certification exam.

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

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

Whizlabs

Azure AI & ML: Optimize Language Models for AI Applications

Master Azure AI & ML model deployment, optimization, and MLOps workflows. Build production-ready solutions using Azure AI Foundry, AutoML, and advanced monitoring techniques.

• Coursera
• 8 hours 19 minutes
• Self-Paced
• Paid Course

Whizlabs

Prompt Engineering Generative AI & LLM Models Fundamentals

Master prompt engineering and LLM fundamentals through hands-on training, optimization techniques, and advanced architectures like RAG for real-world AI applications.

• Coursera
• 6 hours 28 minutes
• Self-Paced
• Paid Course

Packt

Deep Learning with Keras and Practical Applications

Master deep learning with Keras: from wine quality prediction to advanced image classification using CNNs, transfer learning, and GPU acceleration. Optimize models, implement data augmentation, and deploy in real-world scenarios.

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

Introduction to Transformer Models for NLP: Unit 2

Master BERT and GPT fundamentals through hands-on practice with tokenization, fine-tuning, text generation, semantic search, and multi-task learning for real-world NLP applications.

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

Packt Credential

AI Engineer Associate

Master essential AI engineering skills through feature engineering, deep learning frameworks, and AI agent development for real-world applications.

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

Coursera Credential

ML Production Systems

Master containerization, deployment, and MLOps practices to transform ML models into scalable production systems using Docker, Kubernetes, and automated pipelines.

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

Packt

Mastering Image Segmentation with PyTorch

Explore image segmentation with PyTorch, from basics to advanced techniques. Learn CNNs, semantic segmentation, and tackle real-world projects to master this crucial aspect of computer vision.

• Coursera
• 6 hours 29 minutes
• Self-Paced
• Paid Course

Board Infinity

AI Systems Design: RAG Pipelines and LLM Architecture

Master enterprise-grade RAG pipelines and LLM architecture—from problem scoping and data strategy to building end-to-end retrieval-augmented generation prototypes with Streamlit UI.

• Coursera
• 16 hours 55 minutes
• Self-Paced
• Paid Course