Applied Machine Learning and Deep Learning

Description

Program Overview
• Program Main Code Name: MLDL
• Program Code: MLDL
• Program Length: 28 Weeks (7 Months)
• Total Contact Hours: 336 Hours
• Total Credit Hours: 13.3 Credits
• Delivery Method: In-person Live Instructor-Led, Virtual Live Instructor-Led, or 1-on-1

Personalized Mentorship

Admissions Requirements
• High school diploma or GED
• Minimum age of 18 years (Applicants under 18 require parental consent)
• Basic Python programming proficiency
• Introductory understanding of statistics
• Successful NVIT Admissions Interview

Program Description
The Applied Machine Learning and Deep Learning (MLDL) program prepares students to
design, build, deploy, and scale real-world AI/ML solutions. Students gain practical hands-on
skills in:
• Building predictive and classification models
• Designing and training deep learning neural networks
• Implementing generative AI techniques including GANs and VAEs
• Deploying scalable machine learning applications using DevOps and MLOps frameworks

Course Description
This course prepares individuals for entry-level positions as:
• Machine Learning Engineers
• Deep Learning Engineers
• AI/ML Solutions Developers
• Applied AI Research Specialists
Students learn to:
• Design, build, and deploy machine learning and deep learning systems
• Apply advanced AI techniques including GANs, transfer learning, and scalable AI
deployments
• Deploy AI models using industry-standard cloud and DevOps frameworks

Occupations for Which Training Will Be Provided
• Machine Learning Engineer
• Deep Learning Engineer
• Computer Vision Engineer
• AI/ML Solutions Developer
• Applied AI Research Specialist