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
Google Cloud
Skills you'll gain: Google Gemini, Customer Relationship Management, Generative AI, Applied Machine Learning, Big Data, Predictive Modeling, Query Languages, Data Analysis
Google Cloud
Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Model Deployment, Feature Engineering, Data Modeling, Data Preprocessing, Data Management, Data Storage, Data Import/Export
Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Generative AI, Continuous Monitoring, Model Deployment, Google Cloud Platform, Predictive Modeling, AI Security
Status: NewGoogle Cloud
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Tensorflow, Google Cloud Platform, Systems Design, Applied Machine Learning, Data Validation, Model Evaluation, Technical Design, Performance Tuning, Distributed Computing, Cloud Deployment, Scalability, Data Pipelines, Debugging
Status: NewStatus: Free TrialGoogle Cloud
Skills you'll gain: Generative AI Agents, Generative AI, Google Cloud Platform, Gemini, Responsible AI, AI Security, AI Product Strategy, AI Enablement, Data Ethics, Cloud Infrastructure, Data Governance, Artificial Intelligence, Data Centers, MLOps (Machine Learning Operations)
Skills you'll gain: Prompt Engineering, Large Language Modeling, Retrieval-Augmented Generation, LLM Application, Microsoft Azure, ChatGPT, Model Deployment, Embeddings, Application Design, Cloud Applications, Application Deployment, Model Evaluation, Semantic Web
Status: NewStatus: Free TrialGoogle Cloud
Skills you'll gain: Google Gemini, Generative AI, Gemini, Responsible AI, Google Cloud Platform, AI Product Strategy, Data Governance, AI Enablement, AI Security, Cloud Infrastructure, Cloud Computing Architecture, Decision Making, LLM Application
Skills you'll gain: Model Evaluation, Generative AI, Continuous Monitoring, Responsible AI, Google Cloud Platform, MLOps (Machine Learning Operations), Machine Learning Methods, Predictive Modeling
Skills you'll gain: Responsible AI, Artificial Intelligence, Data Ethics, Applied Machine Learning, Model Evaluation, Technical Documentation, Machine Learning
Skills you'll gain: Responsible AI, Data Ethics, Google Cloud Platform, Artificial Intelligence, AI Security, Open Source Technology, Machine Learning Methods, Model Evaluation, Data Quality
Skills you'll gain: Responsible AI, Artificial Intelligence, AI Security, Model Evaluation, Data Modeling, Machine Learning
Skills you'll gain: Google Cloud Platform, Unstructured Data, Model Deployment, Tensorflow, MLOps (Machine Learning Operations), Big Data, Data Pipelines, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Jupyter, Natural Language Processing
In summary, here are 10 of our most popular deep learning courses
- Work with Gemini Models in BigQuery - 日本語版: Google Cloud
- MLOps with Vertex AI: Manage Features - 한국어: Google Cloud
- Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - Deutsch: Google Cloud
- 프로덕션 머신러닝 시스템: Google Cloud
- 生成式 AI：掌握幕後技術與環境: Google Cloud
- Working with large language models using Azure: Microsoft
- 생성형 AI: 환경 살펴보기: Google Cloud
- MMachine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 한국어: Google Cloud
- Responsible AI for Developers: Interpretability & Transparency - Português Brasileiro: Google Cloud
- Responsible AI for Developers: Fairness & Bias - Deutsch: Google Cloud
