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: OpenAI API, LLM Application, Vector Databases, Generative AI Agents, Tool Calling, Embeddings, Retrieval-Augmented Generation, Prompt Patterns, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Prompt Engineering, Agentic systems, Large Language Modeling, TypeScript, Responsible AI, Software Development, Real Time Data, Web Scraping, Software Design Patterns
Skills you'll gain: Keras (Neural Network Library), Recurrent Neural Networks (RNNs), Model Evaluation, Natural Language Processing, Text Mining, Data Preprocessing, Deep Learning, Tensorflow, Google Cloud Platform, Matplotlib
Google Cloud
Skills you'll gain: Command-Line Interface, Google Cloud Platform, Cloud Management, Linux Commands, Cloud Storage, Red Hat Enterprise Linux, Virtual Machines, Software Installation
Skills you'll gain: Power BI, Data Analysis Expressions (DAX), Data Transformation, Business Intelligence, Data Modeling, Interactive Data Visualization, Data Manipulation, Dashboard, Data Visualization Software, Microsoft Excel, SQL Server Reporting Services, Data Warehousing, Data Sharing, Data Integration
Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), AI Security, Cloud Deployment, DevOps, CI/CD, Artificial Intelligence and Machine Learning (AI/ML), System Monitoring, Software Versioning, Data-Driven Decision-Making
Deep Teaching Solutions
Skills you'll gain: Database Architecture and Administration
Skills you'll gain: MITRE ATT&CK Framework, Incident Response, Cyber Threat Hunting, Cyber Threat Intelligence, Digital Forensics, Computer Security Incident Management, Threat Detection, Cybersecurity, Mobile Security, Network Analysis
Skills you'll gain: Microsoft Copilot, Development Environment, DevOps, Software Development Tools, GitHub, Integrated Development Environments, Generative AI, Software Installation
Skills you'll gain: File I/O, Data Structures, Data Management, Programming Principles, Python Programming, Data Storage, Computer Programming, Scripting
Skills you'll gain: Responsible AI, Open Source Technology, Data Ethics, AI Security, Artificial Intelligence, Large Language Modeling, Transfer Learning, Generative AI, Model Evaluation, Model Deployment, Information Privacy, Data Security
Skills you'll gain: 3D Modeling, Unreal Engine, Virtual Environment, Computer Graphics, Augmented and Virtual Reality (AR/VR), Game Design, Animation and Game Design, User Interface (UI), Scalability, Performance Tuning, Design
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In summary, here are 10 of our most popular applied machine learning courses
- Build a Support Agent with Vercel AI SDK: Scrimba
- Sentiment Analysis with RNNs in Keras: EDUCBA
- Google Cloud SDK: Qwik Start - Redhat/Centos: Google Cloud
- Master in Microsoft Power BI Desktop and Service: Packt
- Secure AI Model Deployments & Lifecycles: Coursera
- เรียนแบบนี้แต่แรก ก็เก่งไปนานแล้ว : Deep Teaching Solutions
- Advanced Oracle Monitoring and Tuning Techniques: Packt
- Practical Cybersecurity Fundamentals: Unit 2: Pearson
- Accelerate Terraform Development with GitHub Copilot and AI: Packt
- تعرَف على هياكل البيانات في بايثون من خلال التطبيق العملي: Coursera
