Deep Learning Courses
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.
Popular Deep Learning Courses and Certifications
Status: PreviewGoogle Cloud
Skills you'll gain: CI/CD, Apache Airflow, Data Pipelines, MLOps (Machine Learning Operations), Google Cloud Platform, Tensorflow, Continuous Integration, Kubernetes, Metadata Management, Machine Learning Methods, Continuous Deployment, AI Orchestration, Model Deployment, AI Workflows, Applied Machine Learning, Model Evaluation, Containerization, Cloud Storage, Data Validation
Skills you'll gain: Web Development Tools, Javascript, Scripting Languages, Scripting, Browser Compatibility, Debugging, Development Environment, Maintainability
Skills you'll gain: Google Cloud Platform, Generative AI, MLOps (Machine Learning Operations), Model Deployment, Tensorflow, AI Workflows, Artificial Intelligence, Cloud Infrastructure, Machine Learning, Natural Language Processing
Status: PreviewSkills you'll gain: Natural Language Processing, Large Language Modeling, Transfer Learning, Vision Transformer (ViT), Generative Model Architectures
Status: PreviewGoogle Cloud
Skills you'll gain: Large Language Modeling, Natural Language Processing, Transfer Learning, Text Mining, Deep Learning
Status: NewStatus: Free TrialSkills you'll gain: Unreal Engine, Animations, Animation and Game Design, 3D Assets, Video Game Development, Computer Graphics
Status: PreviewSkills you'll gain: Prompt Engineering, Risk Management Framework, Legal Technology, Responsible AI, Legal Risk, Risk Mitigation, Generative AI, Compliance Management, Automation, Legal Strategy, Data Ethics, Law, Regulation, and Compliance, Analytics, Governance, Data Analysis
Skills you'll gain: MongoDB, Dataflow, Applied Machine Learning, Google Cloud Platform, Data Pipelines, Big Data, Data Integration, Data Migration, Data Analysis
Status: NewStatus: Free TrialSkills you'll gain: Endpoint Security, Mobile Security, Cloud Security, Application Security, Cloud Deployment, Malware Protection, Information Systems Security, Virtual Machines, Virtualization, Firewall, Intrusion Detection and Prevention, Security Awareness, Containerization, User Provisioning
Skills you'll gain: Matplotlib, Data Visualization Software, Data Visualization, Pandas (Python Package), Jupyter, Data Import/Export, Data Science, Data Analysis, Analytical Skills, Python Programming, Scripting
Status: NewSkills you'll gain: Prompt Engineering, LangChain, Large Language Modeling, Data Quality, Model Deployment, Data Ethics, No-Code Development, Model Evaluation, Responsible AI, Application Development, Transfer Learning, Application Programming Interface (API)
Status: NewStatus: Free TrialSkills you'll gain: Animation and Game Design, Unity Engine, User Interface (UI), Game Design, Video Game Development, User Interface (UI) Design, Visualization (Computer Graphics), C# (Programming Language), Scripting
In summary, here are 10 of our most popular deep learning courses
- ML Pipelines on Google Cloud - 한국어: Google Cloud
- Mastering JavaScript Variables – VAR, LET & CONST in 2025: Packt
- Introduction to AI and Machine Learning on GC - 简体中文: Google Cloud
- Transformer Models and BERT Model - Bahasa Indonesia: Google Cloud
- Transformer Models and BERT Model - בעברית: Google Cloud
- Unreal Engine: Design Dynamic Particle Effects for Games: EDUCBA
- GenAI for Legal Risk Mitigation: Proactive Case Analysis: Coursera
- Configuring MongoDB Atlas with BigQuery Dataflow Templates: Google Cloud
- (SSCP) Systems Security Certified Practitioner: Unit 6: Pearson
- Cómo importar datos y crear visualizaciones en Python: Coursera
