Embedded Files
Launch your AI career
Launch your AI career
in just 12 weeks
in just 12 weeks
Are you a recent graduate aiming to transition into the field of machine learning? The Machine Learning Technician (MLT) Postbacc is a 12-week, full-time immersive training program designed to provide you with the essential skills required to excel in machine learning roles. This hands-on program covers Python programming, data processing, machine learning fundamentals, deep learning, and model deployment, culminating in a real-world capstone project.
Participants who successfully complete the program will receive a $2,000 stipend upon graduation.
Program Dates: June 16, 2025 - September 5, 2025
Program Dates: June 16, 2025 - September 5, 2025
Why Join the MLT postbacc?
Why Join the MLT postbacc?
Hands-On Learning: Engage with real-world datasets and implement machine learning models through practical exercises.
Structured Curriculum: Acquire industry-relevant skills in Python, machine learning pipelines, and deep learning techniques.
Open to All Majors: No prior machine learning experience required. There will be a 3-week preparatory Python course before the Machine Learning curriculum begins.
Expert Instruction: Learn from experienced faculty and mentors dedicated to your success.
Career-Ready Skills: Develop technical expertise and complete a capstone project to enhance your professional portfolio.
Cash Stipend: All participants who successfully complete the program will receive a stipend to support their transition into the workforce.
Who Should Apply?
Who Should Apply?
This postbacc is ideal for individuals who:
Have earned a degree within the last 12 months.
No coding experience is required, though it may be helpful. Python is preferred, but other programming languages are also acceptable.
Are interested in machine learning and wish to develop industry-ready skills.
Can commit to full-time participation for the entire 12-week program.
Program Details
Program Details
Duration: 12 weeks, Full-Time (Monday - Friday, 10 AM - 4 PM)
Dates: June 16, 2025 - September 5, 2025
Format: Live, Instructor-Led Sessions
Location: Morehouse College / Hybrid (Virtual & Hands-On Learning) | MWF are virtual, Tu/Th are in person.
What You WilL Learn
What You WilL Learn
Week 1-3: Python Preparatory Training
Weeks 4-5: Introduction to Machine Learning, Python for ML, and Data Processing
Weeks 6-7: Supervised and Unsupervised Learning Models
Weeks 8-9: Model Evaluation, Optimization, and Deep Learning
Weeks 10-12: Working with TACC’s Supercomputers & Capstone Project
Application Process
Application Process
Submit Your Application – Complete the online application, which includes:
Your background information
Your degree details (must have graduated within the last 12 months)
Indicate your coding experience, if any. Python is preferred, but other languages are also accepted. (Coding experience is not required)
A personal statement explaining your interest in machine learning and how this program fits into your career goals
Application Review – Applications will be evaluated based on problem-solving ability, and interest in machine learning.
Acceptance & Onboarding – Selected participants will receive an acceptance notification along with onboarding details and course materials before the program begins.
Application Deadline: June 6, 2025
Application Deadline: June 6, 2025
Contact Information
Contact Information
For questions about the program, please contact:
Ashley Scruse, PhD
Email: ashley.scruse@morehouse.edu
Spaces are limited. Don’t miss your chance to gain the skills needed to launch your career in machine learning.
Page updated
Google Sites
Report abuse