AI Models Courses and Certifications

Scrimba

Open-source AI Models

37 ratings at Coursera

Use open-source AI models in the browser: run inference with HuggingFace.js, build text-to-speech, text generation and image tasks, and find free models on the Hub.

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

Career Certificate

Generative AI Models and Transformer Networks Certification

15 ratings at Coursera

Build and train autoencoders, VAEs, and GANs in TensorFlow, apply attention mechanisms and Transformer models like GPT and BERT, and use RAG for accuracy.

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

Career Certificate

AI ML with Deep Learning and Supervised Models

14 ratings at Coursera

Learn AI and machine learning fundamentals: build regression, classification and clustering models, then feedforward, convolutional, recurrent and LSTM networks using TensorFlow and Keras.

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

Coursera

Generative AI and Large Language Models

13 ratings at Coursera

Explore GANs, VAEs, transformers and diffusion models: fine-tune with Hugging Face, build RAG applications, implement Stable Diffusion in PyTorch, and build multimodal systems with CLIP and Whisper.

• Coursera
• 5 weeks, 5 hours a week
• Self-Paced
• Paid Course

EDUCBA

AI with Python: Apply & Implement ML Models

13 ratings at Coursera

Build and evaluate machine learning and deep learning models in Python with Scikit-learn, TensorFlow, Keras, and PyTorch, covering preprocessing, dimensionality reduction, classifiers, and Pyplot visualization.

• Coursera
• 3 weeks, 3 hours a week
• Self-Paced
• Paid Course

Whizlabs

NVIDIA: Large Language Models and Generative AI Deployment

11 ratings at Coursera

Learn to train, optimize, and deploy large language models: data cleaning, few-shot and instruction tuning, RLHF, PEFT and prompt tuning, perplexity metrics, and ONNX monitoring.

• Coursera
• 3 weeks, 1 hour a week
• Self-Paced
• Paid Course

H2O.ai

H2O ai Large Language Models (LLMs) - Level 1

10 ratings at Coursera

Learn what language models are, how transformer architecture works, and how pre-training, fine-tuning, and transfer learning adapt LLMs to domain-specific applications across industries.

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

Coursera Career Certificate

Open Generative AI: Build with Open Models and Tools

7 ratings at Coursera

Build end-to-end open generative AI systems: fine-tune LLMs and diffusion models with PEFT/QLoRA, benchmark performance, and deploy RAG apps using LangChain, FAISS, Docker, and FastAPI.

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

Coursera

Landing.AI for Beginners: Build Data Visualization AI Models

Build, train, and deploy computer vision models in LandingLens: visual prompting, object detection, segmentation, and image classification, uploading and labeling data, then deploying to cloud and edge devices.

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

Foundations of Generative AI Models

Learn how generative models are trained and evaluated, apply Retrieval Augmented Generation for more accurate outputs, and track GenAI trends across healthcare, finance, and education.

• Coursera
• 2 weeks, 2 hours a week
• Self-Paced
• Paid Course

Coursera

Operationalizing ML Models: MLOps for Scalable AI

Turn ML prototypes into production systems: design MLOps workflows, automate CI/CD deployments, monitor data drift, and scale infrastructure with Docker, MLflow, and Kubernetes.

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

H2O.ai

H2O ai Large Language Models (LLMs) - Level 2

Prepare and validate LLM training data in LLM DataStudio, build QnA datasets, then fine-tune models with H2O LLM Studio using data augmentation, quantisation, and LoRA.

• Coursera
• 4 weeks, 1 hour a week
• Self-Paced
• Paid Course

Coursera

Optimize AI: Build & Evaluate Predictive Models

Build and evaluate predictive models with scikit-learn: train logistic-regression and clustering models, apply 5-fold cross-validation, and refine features against accuracy and F1 targets.

• Coursera
• 1 hour 59 minutes
• Self-Paced
• Paid Course

H2O.ai

H2O ai Large Language Models (LLMs) - Level 3

Build custom h2oGPT models, assess them with LLM EvalGPT and evaluation metrics, and navigate the H2O.ai generative AI ecosystem and its components.

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

Coursera

Partition & Monitor AI Models Effectively

Keep deployed models from failing silently: apply stratified and time-series splits, quantify drift with PSI and KL divergence, and design automated retraining pipelines.

• Coursera
• 2 weeks, 1 hour a week
• Self-Paced
• Paid Course