Applied Machine Learning Courses
Applied Machine Learning courses can help you learn data preprocessing, model selection, feature engineering, and evaluation metrics. You can build skills in implementing algorithms, optimizing performance, and interpreting results in practical contexts. Many courses introduce tools like Python, TensorFlow, and scikit-learn, that support developing machine learning models and applying AI techniques to solve real-world problems.
Popular Applied Machine Learning Courses and Certifications
Skills you'll gain: Model Optimization, Tensorflow, Artificial Neural Networks, Applied Machine Learning, Deep Learning, Keras (Neural Network Library), Recurrent Neural Networks (RNNs), Classification Algorithms, Image Analysis, Convolutional Neural Networks, Model Training, Machine Learning, NumPy, Regression Analysis, Network Architecture
Macquarie University
Skills you'll gain: Responsible AI, AI Security, Security Testing, Threat Modeling, Data Ethics, Cybersecurity, Penetration Testing, Malware Protection, Cyber Governance, Cyber Attacks, Regulatory Compliance, Security Controls, Secure Coding, Information Privacy, Data Governance, Model Training, Artificial Intelligence and Machine Learning (AI/ML), Governance, Artificial Intelligence, Machine Learning Methods
Skills you'll gain: Model Deployment, Application Deployment, Data Preprocessing, Devops Tools, Model Training, Machine Learning Software, Data Processing, Model Optimization, Model Evaluation
Skills you'll gain: Continuous Deployment, Continuous Integration, Jenkins, CI/CD, Continuous Delivery, Cloud-Native Computing, Devops Tools, SonarQube, DevOps, Artifactory, Kubernetes, Infrastructure as Code (IaC), Cloud Deployment, AI Integrations, Containerization, ChatGPT, Authentications, Agile Methodology, Git (Version Control System), Automation
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, CI/CD, Continuous Deployment, Docker (Software), Kubernetes, Model Training, Containerization, AI Workflows, Model Optimization, Scalability, Devops Tools, DevOps, Continuous Monitoring
Skills you'll gain: Serverless Computing, API Gateway, Image Analysis, Cloud-Based Integration, Amazon CloudWatch, Extensible Markup Language (XML), JSON, Computer Vision, Cloud Deployment, Restful API, API Design, Amazon Web Services, Event-Driven Programming, Amazon S3, Microservices, Cloud Development, AWS CloudFormation, Extensible Languages and XML, Cloud-Native Computing, Artificial Intelligence and Machine Learning (AI/ML)
O.P. Jindal Global University
Skills you'll gain: Anomaly Detection, Dimensionality Reduction, Unsupervised Learning, Customer Analysis, Marketing Analytics, Data Mining, Customer Insights, Autoencoders, Data-Driven Marketing, Applied Machine Learning, Machine Learning Algorithms, Machine Learning Methods, Marketing, Statistical Machine Learning, Target Audience, Supervised Learning, Python Programming, Algorithms
Simplilearn
Skills you'll gain: Reinforcement Learning, Agentic systems, Model Training, Model Optimization
University of Michigan
Skills you'll gain: Generative AI, AI Personalization, Responsible AI, AI powered creativity, Prompt Engineering, Education Software and Technology, Course Development, ChatGPT, AI literacy, Instructional Design, LLM Application, Curriculum Planning, AI Integrations, Brainstorming, Artificial Intelligence, Data Ethics, Design Strategies, Content Creation, Emerging Technologies, Professional Development
Skills you'll gain: Information Architecture, Education Software and Technology, Content Management, Collaborative Software
Skills you'll gain: PyTorch (Machine Learning Library), Reinforcement Learning, Deep Learning, Artificial Neural Networks, Model Training, Machine Learning, Machine Learning Algorithms, Python Programming, Algorithms, Model Evaluation
Skills you'll gain: Model Training, Model Deployment, MLOps (Machine Learning Operations), Applied Machine Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Machine Learning Methods, Machine Learning, Predictive Modeling, Scenario Testing, Machine Learning Algorithms, Feature Engineering, Statistical Machine Learning, Responsible AI, Regression Analysis, Classification Algorithms, Continuous Monitoring
In summary, here are 10 of our most popular applied machine learning courses
- Deep Learning - Artificial Neural Networks with TensorFlow:Â Packt
- Adversarial AI: Attacking, Defending & Governing ML Systems:Â Macquarie University
- DevOps to MLOps Bootcamp– Build & Deploy ML Systems: Packt
- Learning Continuous Integration with Jenkins:Â Packt
- Operationalizing ML Models: MLOps for Scalable AI:Â Coursera
- AWS Serverless & AI/ML Project-Based Cloud Specialization:Â EDUCBA
- Unsupervised Learning and Its Applications in Marketing:Â O.P. Jindal Global University
- Q Learning in Reinforcement Training Basics:Â Simplilearn
- Generative AI as a Learning Design Partner:Â University of Michigan
- Use Wakelet to Curate Learning Collections:Â Coursera
