AI Models Courses and Certifications

Coursera Career Certificate

Open Generative AI: Build with Open Models and Tools

Master open-source generative AI through hands-on projects covering fine-tuning, RAG systems, model deployment, and production-ready applications using cutting-edge tools.

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

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

Whizlabs

NVIDIA: Large Language Models and Generative AI Deployment

Master the deployment and optimization of Large Language Models through hands-on training in model fundamentals, GPU-accelerated training techniques, PEFT methods, and ONNX-based monitoring strategies.

• Coursera
• 4 hours 24 minutes
• Self-Paced
• Paid Course

Coursera

Landing.AI for Beginners: Build Data Visualization AI Models

Explore visual prompting and build AI models for object detection, segmentation, and classification using LandingLens. Gain hands-on experience in data labeling, training, and deploying models on cloud and edge devices.

• Coursera
• 2 hours 52 minutes
• Self-Paced
• Paid Course

Introduction to OpenAI Agents SDK in Python

Master OpenAI Agents SDK to build, debug, and chain AI agents in Python with custom tools and multi-turn conversations for advanced automation workflows.

• CodeSignal
• 3 hours
• Self-Paced
• Free Certificate

Foundations of Generative AI Models

Master generative AI fundamentals, training techniques, and RAG implementation while exploring emerging trends and real-world applications across industries.

• Coursera
• 3 hours 36 minutes
• Self-Paced
• Paid Course

EDUCBA

AI with Python: Apply & Implement ML Models

Master AI and machine learning with Python through hands-on practice using TensorFlow, Keras, and PyTorch to build, evaluate, and implement ML and deep learning models effectively.

• Coursera
• 8 hours 45 minutes
• Self-Paced
• Paid Course

Career Certificate

Generative AI Models and Transformer Networks Certification

Master Generative AI from autoencoders to transformers. Build VAEs, GANs, and deploy GPT/BERT models with RAG techniques for real-world applications using TensorFlow.

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

Career Certificate

AI ML with Deep Learning and Supervised Models

Master AI fundamentals, build neural networks, and implement advanced models like RNNs and LSTMs. Gain practical skills in supervised and unsupervised learning while exploring ethical considerations and industry applications.

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

Coursera

Operationalizing ML Models: MLOps for Scalable AI

Master MLOps practices to transform ML prototypes into scalable, production-ready systems using Docker, MLflow, and Kubernetes. Automate deployments, monitor performance, and optimize AI infrastructure for robust applications.

• Coursera
• 3 hours 40 minutes
• Self-Paced
• Paid Course

H2O.ai

H2O ai Large Language Models (LLMs) - Level 2

Master advanced LLM techniques through data preparation, fine-tuning, and model optimization. Learn QnA dataset creation, quantization, and LoRA while using H2O LLM Studio for practical NLP applications.

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

LangChain Chat Essentials in Python

Dive into conversational AI with LangChain in Python, building from basic message exchanges to complex conversation management while learning to customize AI responses for innovative NLP applications.

• CodeSignal
• 3 hours
• Self-Paced
• Free Certificate

H2O.ai

H2O ai Large Language Models (LLMs) - Level 3

Master advanced H2O ai Generative AI tools and techniques, from creating custom h2oGPT models to evaluating performance metrics, enhancing your AI workflow capabilities for real business applications.

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

Coursera

Partition & Monitor AI Models Effectively

Discover how to build reliable AI systems that detect drift, prevent data leakage, and automatically retrain to maintain production performance over time.

• Coursera
• 2 hours 1 minute
• 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