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Launch your AI career in just 9 weeks
Launch your AI career in just 9 weeks
Are you a recent STEM graduate aiming to transition into the field of machine learning? The Machine Learning Technician (MLT) Bootcamp is a 9-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 $1,000 stipend upon graduation.
Program Dates: June 2, 2025 - August 1, 2025
Program Dates: June 2, 2025 - August 1, 2025
Why Join the MLT Bootcamp?
Why Join the MLT Bootcamp?
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.
No Prior ML Experience Required: Tailored for recent STEM graduates with a coding background seeking to enter the machine learning field.
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 bootcamp is ideal for individuals who:
Have earned a STEM degree within the last 12 months.
Possess some coding experience (Python preferred, but other languages are acceptable).
Are interested in machine learning and wish to develop industry-ready skills.
Can commit to full-time participation for the entire 9-week program.
Program Details
Program Details
Duration: 9 Weeks, Full-Time (Monday - Friday, 10 AM - 4 PM)
Dates: June 2, 2025 - August 1, 2025
Format: Live, Instructor-Led Sessions
Location: Morehouse College / Hybrid (Virtual & Hands-On Learning)
What You WilL Learn
What You WilL Learn
Week 1: Accelerated Python Recap
Weeks 2-3: Introduction to Machine Learning, Python for ML, and Data Processing
Weeks 3-5: Supervised and Unsupervised Learning Models
Weeks 5-7: Model Evaluation, Optimization, and Deep Learning
Weeks 7-9: Working with TACC’s Supercomputers & Capstone Project
Application Process
Application Process
Submit Your Application – Complete the online application, which includes:
Your background information
Your STEM degree details (must have graduated within the last 12 months)
Your coding experience (Python preferred, but other languages accepted)
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 coding experience, 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: April 30th, 2025
Application Deadline: April 30th, 2025
Contact Information
Contact Information
For questions about the program, please contact:
Kinnis Gosha, PhD
Email: kinnis.gosha@morehouse.edu
Phone: 470-639-0634
Spaces are limited. Don’t miss your chance to gain the skills needed to launch your career in machine learning.
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