Deep learning courses can help you learn neural networks, convolutional networks, and recurrent networks, along with their applications in image recognition and natural language processing. You can build skills in model training, hyperparameter tuning, and performance evaluation, which are crucial for developing effective AI solutions. Many courses introduce tools like TensorFlow and PyTorch, allowing you to implement algorithms and optimize models, making your learning experience hands-on and relevant to current industry practices.

Skills you'll gain: Agentic Workflows, Technical Communication, Agentic systems, AI Orchestration, Artificial Intelligence and Machine Learning (AI/ML), AI Security, Data Presentation, Professional Development, MLOps (Machine Learning Operations), Technical Documentation, Coaching, Technical Writing, Portfolio Management, Verbal Communication Skills, Project Documentation, Communication Strategies, GitHub
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Model Deployment, Containerization, Application Deployment, MLOps (Machine Learning Operations), AI Orchestration, Docker (Software), Kubernetes, AI Workflows, Distributed Computing, Cloud Computing, Scalability, Cloud Infrastructure
Intermediate · Course · 1 - 4 Weeks

SkillsBooster Academy
Skills you'll gain: Prompt Engineering, Multimodal Prompts, Video Production, Photo/Video Production and Technology, Generative AI, Artificial Intelligence, Google Gemini, Artificial Intelligence and Machine Learning (AI/ML), Google Workspace
Beginner · Guided Project · Less Than 2 Hours

Duke University
Skills you'll gain: Deep Learning, Model Evaluation, Unsupervised Learning, Classification And Regression Tree (CART), Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML), Convolutional Neural Networks, Decision Tree Learning, Computer Vision, Logistic Regression, Supervised Learning, Natural Language Processing, Random Forest Algorithm, Data Science, Predictive Analytics, Algorithms
Intermediate · Course · 1 - 3 Months
Stanford University
Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Bayesian Statistics, Statistical Modeling, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Machine Learning Methods, Statistical Inference, Sampling (Statistics), Statistical Methods, Algorithms, Model Evaluation, Computational Thinking
Advanced · Specialization · 3 - 6 Months

Skills you'll gain: Data Analysis, Data Collection, Data Cleansing, Data Processing, Data Quality, Data Analysis Software, Data Science, Business Analytics, Feature Engineering, Data Visualization, Data Validation, Machine Learning
Beginner · Course · 1 - 3 Months

Skills you'll gain: Responsible AI, Image Analysis, Generative AI, Machine Learning, Computer Vision, Microsoft Azure, Artificial Intelligence, Data Preprocessing, Natural Language Processing, OpenAI, Regression Analysis, AI Workflows, Model Deployment, Model Evaluation, Classification Algorithms
Beginner · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Tensorflow, AI Enablement, PyTorch (Machine Learning Library), Technology Strategies, Model Deployment, Interoperability, Performance Tuning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Scalability, Dashboard, Kubernetes, Capacity Management, Analysis, Performance Tuning, MLOps (Machine Learning Operations), Grafana, Prometheus (Software), System Monitoring, YAML, Continuous Monitoring
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Bayesian Network, Predictive Modeling, Machine Learning Methods, Markov Model, Statistical Modeling, Artificial Intelligence, Statistical Inference, Graph Theory, Network Analysis, Probability & Statistics, Sampling (Statistics), Algorithms, Scalability
Intermediate · Course · 1 - 4 Weeks

University of Pennsylvania
Skills you'll gain: Generative AI, Big Data, Machine Learning Algorithms, Generative Adversarial Networks (GANs), Machine Learning, Customer Data Management, Autoencoders, Artificial Intelligence, Deep Learning, Model Evaluation, Algorithms, Process Optimization, Data Analysis, Artificial Neural Networks
Mixed · Course · 1 - 3 Months

Skills you'll gain: MLOps (Machine Learning Operations), API Design, CI/CD, Software Quality Assurance, Code Review
Intermediate · Course · 1 - 4 Weeks