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Level Up Your AI Skills in Just 12 Weeks
Level Up Your AI Skills in Just 12 Weeks
Are you a recent graduate aiming to transition into the field of machine learning or generative AI? The Machine Learning & Generative AI Postbacc is a 12-week, full-time immersive training program designed to provide you with the essential skills required to excel in cutting-edge AI roles. This hands-on program begins with Python programming fundamentals, then allows you to specialize in either Machine Learning or Generative AI through your choice of two distinct tracks.
Participants who successfully complete the program will receive a $2,000 stipend upon graduation.
Program Dates: June 1, 2026 - August 21, 2026
Program Dates: June 1, 2026 - August 21, 2026
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.
TWO Specialized Tracks: Choose between Machine Learning OR Generative AI to align with your career interests.
Structured Curriculum: Acquire industry-relevant skills in Python, AI pipelines, and professional deployment techniques.
Open to All Majors: No prior machine learning or AI experience required. A 3-week preparatory Python course precedes track-specific training.
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.
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 1, 2026 - August 21, 2026
Format: Live, Instructor-Led Sessions
Location: Morehouse College / Hybrid (Virtual & Hands-On Learning) | MWF are virtual, Tu/Th are in person.
choose from two tracks
choose from two tracks
After completeing the 3-week Python foundation, participants will split into two seperate tracks:
MACHINE LEARNING
MACHINE LEARNING
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 Supercomputers & Capstone Project
GENERATIVE AI
GENERATIVE AI
Weeks 4–5: JSON-First Data Handling, Clean Functions, Logging, Config Files, and Reproducibility
Weeks 6–7: JSON Ingest, Dataset Cleaning, and Model Training
Weeks 8–9: Batch & Served Inference, Full Pipeline Orchestration, and AI-Assisted Code Review
Weeks 10–12: Animation Tools, Storytelling, Ethics, and AI-Enhanced Animated Short Capstone
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 or GenAI 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 or GenAI.
Acceptance & Onboarding – Selected participants will receive an acceptance notification along with onboarding details and course materials before the program begins.
Application Deadline: April 1, 2026
Application Deadline: April 1, 2026
Contact Information
Contact Information
Spaces are limited. Don’t miss your chance to gain the skills needed to launch your career in machine learning.
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