Programs
Training tracks built for real careers, not just certificates
Every ScholarDigit program is designed with working practitioners and delivered in the format that fits your institution: in-person, virtual, or hybrid.
AI & Data Science
Build intelligent systems and data-driven solutions for the real world. Learners move from core machine learning concepts to applied, production-minded AI work.
- Applied machine learning & model evaluation
- Data pipelines, cleaning & visualization
- Generative AI & applied LLM tooling
- Capstone project reviewed by practitioners
Tools learners work with
Prepares learners for
How AI & Data Science Is Taught
Welcome to the ScholarDigit Workplace Simulation
One synthetic company. Multiple departments. Realistic problems. Instead of disconnected weekly exercises, learners work inside a connected fictional enterprise: HR policies, finance approvals, sales pipelines, customer service escalations, IT tickets, security incidents. The company is fictional. The work isn't.
Sample Workplace Ticket
You are a Junior AI Automation Analyst. The Client Services team receives repetitive customer inquiries and wants to reduce response time.
Design an AI-assisted triage workflow using the supplied inquiry dataset and company policies. The system must classify requests, identify urgent cases, draft grounded responses, and escalate sensitive or uncertain cases. External responses cannot be sent without human approval.
Not “write five prompts using ChatGPT.” A real brief, the kind someone actually receives on the job.
Failure-First Learning
We intentionally make AI fail
Most courses only demonstrate AI when everything works. We also teach what happens when it doesn't, because knowing how to use AI is only half the skill. Knowing when not to trust it is the other half.
Missing information
The AI doesn't have enough evidence to answer. Learners have to recognize that, not paper over it.
Hallucinations
The response sounds convincing but isn't supported by the source material.
Conflicting documents
Learners must determine which information is actually authoritative.
Prompt injection
Untrusted content attempts to manipulate the AI workflow. Learners test for it.
Privacy boundaries
Some information should never enter an unapproved AI system in the first place.
High-risk decisions
Sometimes the correct solution is not to automate the decision at all.
Cybersecurity
Protect systems, networks, and data in an increasingly digital world. Learners train on realistic scenarios, not just theory.
- Network & systems security fundamentals
- Threat detection & incident response labs
- Governance, risk & compliance basics
- Certification-aligned exam preparation
Tools learners work with
Prepares learners for
Digital Skills
Essential skills for the modern workforce and career advancement, built for learners at every starting point, from digital literacy to workplace AI fluency.
- Workplace AI tools & productivity fluency
- Digital communication & collaboration
- Foundational coding & automation literacy
- Career readiness & portfolio building
Delivery Formats
However your institution needs it delivered
In-Person
On-campus cohorts led by an instructor, with hands-on lab time.
Virtual
Live online sessions for distributed learners and remote programs.
Hybrid
A blend of in-person intensives and self-paced or virtual coursework.
Not sure which track fits your learners?
Talk to us and we'll help you map a program to your goals.