Advanced AI Specialist Track
Sharpens depth and interview polish for senior roles.
For learners who are already close to job-ready and want to specialize further — deep learning, deployment, and the kind of depth that separates a candidate from an interchangeable applicant pool.
Prerequisites
- —Solid Python and applied ML experience
- —Comfortable with core statistics and linear algebra
- —At least one completed end-to-end ML project
- —Prior exposure to a cloud platform is helpful but not required
What you'll be able to do
- ✓Build and train neural networks from scratch and with frameworks
- ✓Deploy a model into a working, accessible application
- ✓Specialize in one area (NLP/LLMs, computer vision, or MLOps)
- ✓Handle advanced technical interview questions confidently
- ✓Present a capstone project at a senior-candidate standard
Curriculum
Deep Learning Foundations
- ·Neural network architecture
- ·Backpropagation and optimization
- ·Common architectures (CNN, RNN, Transformer basics)
Specialization Track (choose one)
- ·NLP & LLM applications, or
- ·Computer vision, or
- ·MLOps & deployment pipelines
Deployment & Production
- ·Packaging a model for deployment
- ·Basic monitoring and versioning
- ·Cloud deployment walkthrough
Capstone Project
- ·End-to-end project in your specialization
- ·Code review and refinement
- ·Present to a panel
Senior-Level Interview Prep
- ·System design for ML applications
- ·Deep technical Q&A practice
- ·Negotiation and offer evaluation basics
Format & Duration
Duration
10 weeks
Format
Live Online
Level
Advanced
Ready to find your starting point?
Take the free 15-minute assessment — get your SkillShaft Score and see if this program fits where you are right now.
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