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
University of Colorado Boulder
Skills you'll gain: Semiconductors, High Voltage, Power Electronics, Electronic Components, Electronics Engineering, Electronics, Simulation and Simulation Software
Skills you'll gain: Cloud Deployment, Cloud Computing Architecture, Public Cloud, Cloud Security, Data Import/Export, Load Balancing, Virtual Networking, Multi-Factor Authentication, Event Monitoring, Data Storage, MySQL, Key Management, Scalability
Simplilearn
Skills you'll gain: LLM Application, LangChain, Large Language Modeling, Model Evaluation, ChatGPT, Generative AI, Prompt Engineering, Application Development, Analytics, Natural Language Processing, Benchmarking
Skills you'll gain: UI/UX Research, User Research, Design Thinking, User Experience, Persona (User Experience), Technical Communication, Miro AI, User Centered Design
Skills you'll gain: Seaborn, Data Storytelling, Data Presentation, Statistical Visualization, Data Visualization, Data Literacy, Data Visualization Software, Matplotlib, Box Plots, Scatter Plots, Statistical Analysis, Heat Maps, Histogram, Python Programming
Skills you'll gain: Resilience, Collaboration, Teamwork, Self-Awareness, Community Development, Mentorship, Active Listening
Skills you'll gain: Generative Model Architectures, ChatGPT, AI Security, Semantic Web, Vector Databases
Skills you'll gain: Matplotlib, Plot (Graphics), Data Visualization Software, Jupyter, Interactive Data Visualization, Scatter Plots, Histogram, Box Plots, Animations, Python Programming
Skills you'll gain: Snowflake Schema, Model Deployment, Data Pipelines, Pandas (Python Package), Data Import/Export, Data Transformation, Large Language Modeling, Data Processing, Containerization, Python Programming, MLOps (Machine Learning Operations), Application Deployment, Application Development, Data Science, Cloud Computing, SQL, Data Analysis, Machine Learning
Howard University
Skills you'll gain: Data Wrangling, Regression Analysis, Dimensionality Reduction, Data Science, Python Programming, Data Preprocessing, Predictive Modeling, Data Analysis, Linear Algebra, Exploratory Data Analysis, Model Evaluation
Skills you'll gain: Education Software and Technology, Learning Management Systems, Digital pedagogy, Teamwork, Collaboration, Classroom Management, Creative Problem-Solving, Innovation, Creativity, Motivational Skills
Skills you'll gain: Generative AI, Editing, AI Personalization, Artificial Intelligence, Prompt Engineering, Creativity, Content Creation
In summary, here are 10 of our most popular applied machine learning courses
- High Voltage Schottky and p-n Diodes:Â University of Colorado Boulder
- Mastering Cloud: Security, Optimization & Migration on AWS:Â Edureka
- LLM Benchmarking and Evaluation Training:Â Simplilearn
- Communicate UX Research with Empathy Maps in Miro:Â Coursera
- Seaborn: Visualizing Basics to Advanced Statistical Plots:Â Coursera
- Resilience: Grow Through Collaboration and Reflection:Â Coursera
- Working with large language models using Azure:Â Microsoft
- Select Topics in Python: Matplotlib:Â Codio
- The Ultimate Guide to Snowpark:Â Packt
- Capstone: Data Science Problem in Linear Algebra Framework:Â Howard University
