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Skills you'll gain: Feature Engineering, Exploratory Data Analysis, Tensorflow, Data Analysis, Keras (Neural Network Library), Google Cloud Platform, Applied Machine Learning, Data Quality, Data Cleansing, Data Strategy, Supervised Learning, Unsupervised Learning, Performance Testing, Machine Learning, Performance Tuning, Dataflow, Deep Learning, Machine Learning Algorithms, Data Processing, Artificial Neural Networks
Skills you'll gain: Feature Engineering, MLOps (Machine Learning Operations), Google Cloud Platform, Generative AI, Tensorflow, Keras (Neural Network Library), Data Quality, Exploratory Data Analysis, Machine Learning, Applied Machine Learning, Apache Airflow, Scikit Learn (Machine Learning Library), Data Cleansing, Cloud Infrastructure, Artificial Intelligence and Machine Learning (AI/ML), Data Pipelines, Supervised Learning, Machine Learning Algorithms, Systems Design, Data Analysis
Imperial College London
Skills you'll gain: Linear Algebra, Dimensionality Reduction, NumPy, Regression Analysis, Calculus, Applied Mathematics, Probability & Statistics, Data Transformation, Jupyter, Data Science, Advanced Mathematics, Statistics, Machine Learning Algorithms, Geometry, Statistical Analysis, Machine Learning Methods, Artificial Neural Networks, Algorithms, Data Manipulation, Mathematical Modeling
Skills you'll gain: Supervised Learning, Feature Engineering, Jupyter, Unsupervised Learning, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Python Programming, Applied Machine Learning, Statistical Machine Learning, Predictive Modeling, Machine Learning, Dimensionality Reduction, Classification And Regression Tree (CART), Matplotlib, Regression Analysis, Random Forest Algorithm, Statistical Modeling, Data Manipulation
Skills you'll gain: Apache Spark, Data Pipelines, MLOps (Machine Learning Operations), PySpark, Application Deployment, IBM Cloud, Machine Learning Algorithms, Feature Engineering, Machine Learning, Unsupervised Learning, Containerization, Supervised Learning, Scalability
Skills you'll gain: Data Management, Artificial Intelligence and Machine Learning (AI/ML), Infrastructure Architecture, Data Infrastructure, MLOps (Machine Learning Operations), Application Deployment, Data Cleansing, Artificial Intelligence, Continuous Deployment, Data Security, Application Frameworks, PyTorch (Machine Learning Library), Machine Learning, Tensorflow, Applied Machine Learning, Data Pipelines, Scikit Learn (Machine Learning Library), Scalability, Feature Engineering, Version Control
Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Applied Machine Learning, Deep Learning, Supervised Learning, IBM Cloud, Predictive Modeling, Classification And Regression Tree (CART), Unsupervised Learning, Program Evaluation, Reinforcement Learning
Skills you'll gain: Feature Engineering, Tensorflow, Exploratory Data Analysis, Data Quality, Applied Machine Learning, Keras (Neural Network Library), Machine Learning, Google Cloud Platform, MLOps (Machine Learning Operations), Data Cleansing, Data Strategy, Scikit Learn (Machine Learning Library), Business Metrics, Dataflow, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Performance Tuning, Artificial Neural Networks, Data Pipelines, Deep Learning
Skills you'll gain: Feature Engineering, Tensorflow, Google Cloud Platform, Data Quality, Data Cleansing, Machine Learning, Keras (Neural Network Library), Applied Machine Learning, Exploratory Data Analysis, Machine Learning Algorithms, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Pipelines, PyTorch (Machine Learning Library), Jupyter, MLOps (Machine Learning Operations), Dataflow, Artificial Neural Networks, Performance Tuning, Predictive Modeling
Skills you'll gain: Dataflow, Google Cloud Platform, Data Pipelines, Real Time Data, Dashboard, MLOps (Machine Learning Operations), Big Data, Data Visualization Software, Data Processing, Cloud Computing, Artificial Intelligence and Machine Learning (AI/ML), Data Warehousing, Machine Learning, Feature Engineering
Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Applied Machine Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Processing, Data Cleansing, Machine Learning, Regression Analysis, Feature Engineering, Statistical Modeling, Sampling (Statistics), Performance Metric
DeepLearning.AI
Skills you'll gain: Tensorflow, Computer Vision, Image Analysis, Keras (Neural Network Library), Deep Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning
Searches related to mlops (machine learning operations)
In summary, here are 10 of our most popular mlops (machine learning operations) courses
- Machine Learning with TensorFlow on Google Cloud en Français: Google Cloud
- Preparing for Google Cloud Certification: Machine Learning Engineer: Google Cloud
- Mathematics for Machine Learning: Imperial College London
- Machine Learning with Python: IBM
- AI Workflow: Enterprise Model Deployment: IBM
- Foundations of AI and Machine Learning: Microsoft
- Machine Learning Introduction for Everyone: IBM
- Machine Learning with TensorFlow on Google Cloud en Español: Google Cloud
- Machine Learning with TensorFlow Google Cloud 日本語版: Google Cloud
- Google Cloud Big Data and Machine Learning Fundamentals: Google Cloud