Machine Learning with Python Certification
6 Months
Program Length
$2,749
Tuition
What is Machine Learning?
Machine learning is a branch of artificial intelligence (AI) that empowers computers to learn from data without being explicitly programmed. This involves developing algorithms that can analyze data, identify patterns, and make predictions or decisions based on that analysis.
This program focuses on the practical application of machine learning using the Python programming language. You’ll learn to:
- Build and train machine learning models: Develop and implement various machine learning algorithms, including classification and regression models.
- Analyze and interpret data: Explore and understand the characteristics of different datasets and prepare them for analysis.
- Evaluate model performance: Assess the accuracy and effectiveness of machine learning models using appropriate evaluation metrics.
- Apply machine learning techniques to real-world problems: Solve real-world challenges using machine learning, such as predicting customer behavior, detecting fraud, or identifying medical diagnoses.
Where Can You Work?
Professionals with machine learning skills are highly sought after in today’s data-driven world. Career opportunities exist in a wide range of industries, including:
- Data Science: Working as a Data Scientist to develop and deploy machine learning models for various applications.
- Software Engineering: Developing and maintaining machine learning-powered software applications.
- Research and Development: Conducting research and developing new machine learning algorithms and techniques.
- Finance: Developing trading algorithms, detecting fraud, and assessing risk.
- Healthcare: Developing diagnostic tools, predicting disease outbreaks, and personalizing treatment plans.
Requirements
- High School Diploma or GED
- Web browser with internet connection
- Course registration & payment
- Basic understanding of computer programming concepts (preferred, but not required)
Training Materials Provided
- Expert-led, video-based training
- Skills-Based Labs and Activities
- Access to learning resources and materials
Machine Learning
Outcomes
Upon successful completion of this program, you will be able to:
- Understand the fundamentals of Python programming: Gain proficiency in Python programming, including data structures, control flow, and object-oriented programming.
- Apply core machine learning concepts: Understand key machine learning concepts such as supervised learning, unsupervised learning, and deep learning.
- Build and evaluate machine learning models: Develop and evaluate various machine learning models, including classification and regression models.
- Perform data analysis and preparation: Prepare data for analysis, including data cleaning, feature engineering, and data visualization.
- Gain practical experience: Apply machine learning techniques to real-world datasets and solve challenging problems.
Skills Learned
- Getting started with Python
- Working with the Python Interactive Shell and Writing and Running Simple Scripts
- Data Types
- Control Statements
- Functions
- Lists and Tuples
- Dictionaries and Sets
- Object-Oriented Programming
- Modules, Packages, and File Operations
- Error Handling
- PCAP Exam Objectives
- PCEP Exam Objectives
- An In-Depth Look at Machine Learning and the Technical Background
- Predicting Categories: Getting Started with Classification
- Predicting Numerical Values: Getting Started with Regression
- Evaluating and Comparing Learners
- Evaluating Classifiers
- Evaluating Regressors
- More Classification Methods
- More Regression Methods
- Manual Feature Engineering: Manipulating Data for Fun and Profit
- Tuning Hyperparameters and Pipelines
- Combining Learners
- Models that Engineer Features for Us
- Feature Engineering for Domains: Domain-Specific Learning
- Connections, Extensions, and Further Directions
Machine Learning Job Possibilities
Data Scientist
Machine Learning Engineer
Data Analyst
PROGRAM COMPARISONS
| PROFESSIONAL WORKFORCE DEVELOPMENT | Community College | |
|---|---|---|
|
Program & Tuition Cost
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$4,000 average
|
Up to $20,000
|
|
Exam Fees, Books & Materials
|
$495
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Up to $750
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|
Job Ready In
|
24 Weeks
|
24–48 months
|
|
Schedule Flexibility
|
On-demand 24/7
|
Set class schedule
|
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Travel Requirements
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None: 100% online
|
On-campus classrooms
|
|
Student Support
|
Personal Advisors: text, call and email access
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Professors: scheduled office hours
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Career Coaching
|
Professors: scheduled office hours
|
Exam-based + prerequisites and electives to meet credit
|
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Content Delivery
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3D animations, immersive environments, interactive activities, game-based learning
|
Professor lectures
|
MEET YOUR WORKFORCE TRAINING SPECIALIST!
Amanda Lynn is your Workforce Training Specialist. She is here to help you understand your certificate of study, payment options and succeed! Get in touch with Amanda to learn more about your certificate, AdventHealth University and how to achieve your workforce development goals!
FAQ
Machine learning skills are highly in demand across various industries. Graduates of this program can pursue careers in data science, healthcare, software engineering, research, and more.
Yes, the program is designed to be accessible to individuals with varying levels of programming experience.
Interested In Another Workforce Development Certificate?
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