Machine Learning with Python
4-6 months
PROGRAM LENGTH
$2,749
TUITION
What Does a Machine Learning Engineer Do?
Machine Learning Engineers design, build, and deploy machine learning models that solve complex problems. They work with large datasets, develop algorithms, and implement machine learning solutions to automate tasks, make predictions, and improve decision-making.
Key responsibilities may include:
- Model Development: Designing and building machine learning models using various algorithms.
- Data Preprocessing: Cleaning, transforming, and preparing data for model training.
- Model Training & Evaluation: Training and evaluating machine learning models to ensure accuracy and performance.
- Deployment & Monitoring: Deploying trained models into production and monitoring their performance.
- Algorithm Development: Researching and developing new machine learning algorithms.
- Collaboration: Working with data scientists and other engineers to implement machine learning solutions.
Where Can You Work?
Machine Learning Engineers are in high demand across various industries, including:
- Healthcare: Developing diagnostic tools and personalized treatment plans.
- Technology Companies: Developing AI-powered products and services.
- Finance: Building fraud detection and risk assessment models.
MACHINE LEARNING WITH PYTHON
Requirements
High School Diploma or GED
Web browser with internet connection
Course registration & payment
Oral and written English proficiency is a requirement for course participation and certificate examination.
Training Materials Provided
Expert-led, video-based training
Competency assessments
Access to practice exams and study materials
Outcomes
This program equips you with the essential skills and knowledge to build and deploy machine learning models using Python. Upon completion, you will be able to:
- Write Python code for data analysis and machine learning.
- Implement various machine learning algorithms.
- Train and evaluate machine learning models.
- Perform data preprocessing and feature engineering.
- Understand and apply core machine learning concepts.
- Prepare for industry relevant certifications.
Skills Learned
After completing this program, learners will be able to:
- Use Python libraries like NumPy, Pandas, and Scikit-learn.
- Implement classification and regression algorithms.
- Evaluate model performance using various metrics.
- Perform feature selection and dimensionality reduction.
- Tune hyperparameters to optimize model performance.
- Understand and implement machine learning pipelines.
- Apply object-oriented programming concepts in Python.
MACHINE LEARNING JOB POSSIBILITIES
Machine Learning Engineer
AI Engineer
Data Scientist
DO YOU NEED HELP PAYING FOR YOUR CERTIFICATION PROGRAM?
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MEET YOUR WORKFORCE TRAINING SPECIALIST
April is your Workforce Training Specialist. She is here to help you understand your program of study, payment options, and succeed! Get in touch with her to learn more about your program, Professional Workforce Development, and how to achieve your workforce development goals!
FAQ
Machine Learning Engineers are in high demand across many industries, with opportunities for growth into leadership and specialized roles.
You will learn Python, which is the most popular language for machine learning, as well as classification, regression, and other core machine learning algorithms.
While prior programming experience can be helpful, this program is designed to teach you Python and machine learning from the ground up.
Interested In Another Program?
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