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: NewSkills you'll gain: Application Lifecycle Management, Power Platform CLI, CI/CD, Continuous Integration, Power Platform Architecture & Technical Design, Microsoft Power Platform, Continuous Delivery, Software Development Life Cycle, Enterprise Application Management, GitLab, Application Deployment, Azure DevOps, Microsoft Azure, Configuration Management, Version Control, Solution Architecture, YAML, Data Science
Skills you'll gain: Responsible AI, Data Ethics, Artificial Intelligence, Model Evaluation, Applied Machine Learning, Machine Learning
Skills you'll gain: Model Evaluation, Generative AI, Continuous Monitoring, MLOps (Machine Learning Operations), Model Deployment, Machine Learning Methods, Applied Machine Learning
Google Cloud
Skills you'll gain: Gemini, Artificial Intelligence and Machine Learning (AI/ML), Customer Insights, Customer Analysis, Generative AI, Data Integration, Predictive Analytics, Customer Data Management, Time Series Analysis and Forecasting, Marketing Strategies
Status: PreviewGoogle Cloud
Skills you'll gain: Google Gemini, SQL, Generative AI, Google Cloud Platform, Big Data, Customer Relationship Management, Jupyter, Workflow Management, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Model Deployment, Model Evaluation
Status: Free TrialSkills you'll gain: Responsible AI, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Interoperability, Model Evaluation, Artificial Intelligence, Model Deployment, Applied Machine Learning
Skills you'll gain: Responsible AI, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Google Cloud Platform, Machine Learning, Model Evaluation, Data Quality
Google Cloud
Skills you'll gain: Retrieval-Augmented Generation, Embeddings, Vector Databases, AI Enablement, Semantic Web, Generative AI, Artificial Intelligence
Status: NewStatus: Free TrialGoogle Cloud
Skills you'll gain: Responsible AI, Generative AI, Google Cloud Platform, AI Security, Large Language Modeling, Data Quality, Artificial Intelligence, Data Ethics, Machine Learning
Google Cloud
Skills you'll gain: Large Language Modeling, Natural Language Processing, Transfer Learning, Embeddings, Model Evaluation
Google Cloud
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Data Preprocessing, Feature Engineering, Data Processing, Data Modeling, Data Management, Data Storage, Data Import/Export, Scalability
Skills you'll gain: Model Evaluation, Generative AI, MLOps (Machine Learning Operations), Google Cloud Platform, Responsible AI, Predictive Modeling, AI Security, Continuous Monitoring, Scalability
In summary, here are 10 of our most popular deep learning courses
- ALM Strategies for Microsoft Power Platform: Packt
- Responsible AI for Developers: Interpretability & Transparency - 简体中文: Google Cloud
- Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - Español: Google Cloud
- Gemini for Data Scientists and Analysts - 한국어: Google Cloud
- Work with Gemini Models in BigQuery - Français: Google Cloud
- Geliştiriciler için Sorumlu Yapay Zeka: Yorumlanabilirlik ve Şeffaflık: Google Cloud
- Responsible AI for Developers: Fairness & Bias - Italiano: Google Cloud
- Recherche vectorielle et embeddings: Google Cloud
- 生成式 AI：瞭解基礎概念: Google Cloud
- Transformer Models and BERT Model - Deutsch: Google Cloud
