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: Retrieval-Augmented Generation, Vector Databases, Agentic systems, AI Workflows, Hugging Face, CrewAI, Embeddings, Transfer Learning
Intermediate · Course · 3 - 6 Months

Skills you'll gain: Responsible AI, Data Ethics, Model Deployment, AI Product Strategy, Technical Design, Prompt Engineering, AI Security, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Technical Communication, Communication, AI Workflows, MLOps (Machine Learning Operations), LLM Application, Apache Airflow, System Design and Implementation, Python Programming, CI/CD, SQL, AWS CloudFormation
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, LLM Application, Large Language Modeling, Prompt Engineering, Hugging Face, Transfer Learning, Context Management
Beginner · Course · 1 - 3 Months

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

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

Coursera
Skills you'll gain: Generative AI, Model Evaluation, Large Language Modeling, Transfer Learning, Performance Tuning, Development Environment, Natural Language Processing, Jupyter
Intermediate · Course · 1 - 4 Weeks

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

Skills you'll gain: Google Cloud Platform, Cloud Computing Architecture, Cloud Services, Cloud Computing, Big Data, Analytics, Cloud Platforms, Dataflow, Data Processing, Cloud Storage, Data Lakes, Cloud Infrastructure, Public Cloud, Microsoft Azure, Data Pipelines, Tensorflow, Real Time Data, Amazon Web Services, Artificial Intelligence, Machine Learning
Intermediate · Course · 1 - 3 Months

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: Apache Spark, PySpark, Databricks, Data Pipelines, Data Processing, Big Data, Apache, Real Time Data, Python Programming, Model Evaluation, Machine Learning, SQL, Data Transformation, Performance Tuning, Distributed Computing
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Descriptive Statistics, A/B Testing, Classification And Regression Tree (CART), Dashboard, Model Evaluation, Model Deployment, Data-Driven Decision-Making, Risk Analysis, Histogram, Statistical Inference, Strategic Decision-Making, Data Presentation, Predictive Modeling, Statistical Hypothesis Testing, Risk Mitigation, Regression Analysis, Data Visualization, MLOps (Machine Learning Operations), Decision Tree Learning, Keras (Neural Network Library)
Intermediate · Specialization · 3 - 6 Months

École Polytechnique Fédérale de Lausanne
Skills you'll gain: Apache Spark, Scala Programming, Distributed Computing, Big Data, Data Manipulation, Data Processing, Performance Tuning, Data Transformation, SQL
Intermediate · Course · 1 - 4 Weeks