Transformer models courses can help you learn natural language processing, attention mechanisms, and model architecture design. You can build skills in fine-tuning models for specific tasks, understanding tokenization, and optimizing performance metrics. Many courses introduce tools like TensorFlow and PyTorch, that support implementing and experimenting with transformer models in various applications, such as text generation, translation, and sentiment analysis.

Skills you'll gain: Feature Engineering, Fraud detection, Jupyter, Program Management, Model Optimization, Responsible AI, Model Evaluation, Project Management, Performance Improvement, AI literacy, Risk Modeling, Performance Metric, Credit Risk, Performance Analysis, Performance Tuning, Machine Learning Methods, Test Planning, Test Engineering, Applied Machine Learning, Research Design
Intermediate · Course · 1 - 4 Weeks

Alberta Machine Intelligence Institute
Skills you'll gain: Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Vision Transformer (ViT), AI powered creativity, Autoencoders, Convolutional Neural Networks, Model Training, Responsible AI, Computer Vision, Music, Digital Signal Processing
Mixed · Course · 1 - 4 Weeks

Northeastern University
Skills you'll gain: Recurrent Neural Networks (RNNs), Large Language Modeling, Natural Language Processing, Hugging Face, PyTorch (Machine Learning Library), Transfer Learning, Artificial Neural Networks, Machine Learning Methods, Generative Model Architectures, Data Preprocessing, Deep Learning, Markov Model, Model Optimization, Model Training
Mixed · Course · 1 - 3 Months

University of Colorado System
Skills you'll gain: Statistical Software, Marketing Analytics, Model Evaluation, Regression Analysis, Data-Driven Marketing, Statistical Modeling, Data Visualization, Statistical Methods, Statistical Analysis, Strategic Marketing, Market Analysis, Marketing, Predictive Analytics, Predictive Modeling, Logistic Regression, Customer Insights, Target Market, Statistical Hypothesis Testing, Variance Analysis
Intermediate · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Generative AI Agents, Prompt Engineering, Generative AI, Prompt Patterns, Prompt Engineering Tools, Agentic Workflows, AI Product Strategy, Agentic systems, AI Workflows, Customer experience improvement, Technology Strategies, Large Language Modeling, AI Integrations, Solution Design, Innovation, Google Cloud Platform, Business Transformation, Customer Engagement, Organizational Change
Beginner · Course · 1 - 3 Months

Lund University
Skills you'll gain: Business Modeling, Digital Transformation, Digital Analysis, Software As A Service, Innovation, Software Development, Network Analysis, Business Strategy, Business Strategies, E-Commerce, Value Propositions, Decision Making, Case Studies
★ 4.6 (573) · Beginner · Course · 1 - 3 Months

École Polytechnique Fédérale de Lausanne
Skills you'll gain: Portfolio Risk, Derivatives, Financial Market, Risk Modeling, Securities (Finance), Futures Exchange, Risk Management, Investments, Financial Modeling, Market Data, Portfolio Management, Mathematical Modeling, Finance, Probability, Statistical Modeling, Estimation, Applied Mathematics
★ 4.5 (197) · Advanced · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Generative AI, Large Language Modeling, Generative Model Architectures, Fine-tuning, LLM Application, Model Training, Model Deployment, Python Programming, Scalability, Model Optimization, Machine Learning, Model Evaluation, Reinforcement Learning
★ 4.8 (3.6K) · Intermediate · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Regression Analysis, Statistical Analysis, Statistical Modeling, Logistic Regression, Data Science, Data Analysis, Statistical Methods, Model Evaluation, Predictive Modeling, Probability & Statistics, Statistical Inference, Statistical Hypothesis Testing, Probability Distribution
★ 4.4 (3.4K) · Mixed · Course · 1 - 4 Weeks
Stanford University
Skills you'll gain: Bayesian Network, Applied Machine Learning, Decision Intelligence, Bayesian Statistics, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Statistical Modeling, Machine Learning Methods, Markov Model, Decision Support Systems, Machine Learning, Unsupervised Learning, Probability & Statistics, Network Analysis, Statistical Inference, Model Training, Statistical Machine Learning, Model Optimization
★ 4.6 (1.5K) · Advanced · Specialization · 3 - 6 Months

Duke University
Skills you'll gain: Prompt Engineering, Databricks, Large Language Modeling, Model Deployment, LLM Application, Generative AI, Retrieval-Augmented Generation, Generative Model Architectures, Apache Airflow, Hugging Face, Amazon Bedrock, Vector Databases, Data Lakes, ChatGPT, Extract, Transform, Load, OpenAI, MLOps (Machine Learning Operations), Performance Tuning, Prompt Patterns, OpenAI API
★ 4.5 (320) · Beginner · Specialization · 3 - 6 Months

Coursera
Skills you'll gain: Random Forest Algorithm, Model Evaluation, Feature Engineering, Model Training, Applied Machine Learning, Supervised Learning, Geospatial Mapping, Predictive Modeling, Image Analysis, Verification And Validation, Data Science, Environmental Engineering
Beginner · Course · 1 - 4 Weeks