AI Training

The AI Training That Actually Works

Mentor-led, hands-on AI upskilling for corporate teams and universities. Customized around your goals, not a generic syllabus.

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Mentor-led AI training session
TecQubes
Mentor-led, hands-on
Not pre-recorded courses
3
Training tiers
13
Courses available
3–80
Hours per program
3
Delivery modes
Why Now

Why AI Training… And Why Now

AI fluency is fast becoming essential for productivity and efficiency at work (a baseline expectation, like spreadsheet literacy once was). Every technical and non-technical role is being reshaped by AI, and businesses that build this fluency will outpace those that don’t.

Yet, organizations are increasingly facing the AI skills gap among their workforce and this gap is further widened by generic, passive AI courses that are disconnected from real work.

We build AI training around your team’s actual tools, workflows, and goals, delivered by an experienced mentor from the industry, who works alongside your people. We believe in hands-on training approach rather than pre-recorded courses.

“TecQubes precisely bridges this gap.”

TecQubes
What Sets Us Apart

What Makes TecQubes AI Training Different

Mentor-led
Every program is guided by a live mentor, not self-paced video
Hands-on by design
Learners apply AI tools to real tasks and real use cases, not generic examples
Fully customizable
Curriculum, pace, and depth are specifically scoped to your team or institution
Flexible delivery
Online, in-person (offline), or a blended mix
A clear tiered pathway
Foundation to Professional to Expert. Allows your teams to start small and grow
Right-sized, not one-size-fits-all
From a 3-hour executive briefing to an 80-hour deep specialization track
Audience

Who This Is For

C
Corporate Teams
Departments (operations, analytics, marketing, product development, CXOs) adopting AI in daily workflows
Leadership teams needing practical AI literacy to make informed decisions
Organizations building an internal AI center of excellence (CoE)
U
Universities & Academic Institutions
Programs looking to embed applied AI modules into existing curricula
Career-services teams preparing students for AI-native job markets
Faculty upskilling on integrating AI tools into teaching, research, and assessment
Programs

Tiered Course Structure

All tracks below are starting points. Every engagement is scoped and customized after a discovery conversation.

Foundation Level
3 to 16 hours·Awareness & literacy
1
AI Literacy for the Modern Workplace
A practical introduction to what AI is, how it works, and how to use it confidently and responsibly in everyday work.
Corporate (all staff), University (students)
2
Introduction to Generative AI & LLMs
Demystifies generative AI and large language models, and shows how they apply to real, everyday tasks.
Corporate, University
3
AI Tools for Everyday Productivity (Copilot / ChatGPT / Claude)
Hands-on practice using leading AI assistants to work faster on writing, research, and analysis.
Corporate
4
AI Ethics & Responsible Use: What Every Team Should Know
Covers the risks, limitations, and responsible-use principles every team needs before scaling AI adoption.
Corporate, University
Professional Level
16 to 40 hours·Applied skill-building
1
Prompt Engineering for Business Applications
Structured techniques for getting reliable, high-quality output from AI tools on real business tasks.
Corporate
2
AI for Business Analysts: Automating Process Work
Shows analysts how to use AI to streamline documentation, reporting, and repetitive process work.
Corporate
3
Applied Machine Learning Fundamentals
A hands-on introduction to building and evaluating simple machine learning models on real data.
Corporate, University (technical programs)
4
AI-Powered Data Analysis & Decision-Making
Uses AI tools to speed up data analysis and support faster, better-informed business decisions.
Corporate
5
Integrating AI into Teaching & Curriculum
Helps faculty design AI-enhanced coursework, assessments, and classroom activities.
University (faculty)
Expert Level
40 to 80 hours·Deep, project-based specialization
1
Building AI-Powered Automation & Agents
A deep, project-based track on designing and deploying AI agents and automated workflows.
Corporate
2
AI Strategy & Change Leadership for Organizations
Prepares leaders to plan, govern, and lead AI adoption across an organization.
Corporate (leadership)
3
Advanced Machine Learning & Model Development
Covers advanced model-building, tuning, and evaluation techniques for technical learners.
University, technical corporate teams
4
Applied AI Capstone: Team Project with Mentor Guidance
A culminating, mentor-guided project applying AI to a real problem specific to your team or institution.
Corporate, University
i
Note: An "AI for ERP-driven organizations" elective is on our roadmap as we build out ERP training. Happy to discuss timelines if this is relevant to you.
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Process

How It Works

01
Discovery call
we learn about your team, goals, and constraints
02
Needs assessment & curriculum design
we recommend a tier, duration, and syllabus tailored to you
03
Mentor-led delivery
online, offline, or blended, with hands-on work tied to your real context
04
Outcome review
we assess applied skill gain, gather feedback, and map the next tier if relevant
Outcomes

Benefits

For Corporate Teams
Practical AI capability your team can relate to and apply immediately
Keeps your team competitive as AI fluency becomes a baseline expectation for productivity and efficiency across every role, not just technical ones
Reduced dependency on external AI vendors for everyday work
A shared internal vocabulary and skill baseline across departments
Responsible, governance-aware AI adoption built into the training itself
For Universities
Industry-aligned curriculum that keeps pace with how AI is actually used at work
Stronger graduate employability and career readiness
Faculty development that translates into better-equipped classrooms
A differentiator in how your programs are positioned to prospective students
Inclusions

What You Get

No formal certificate is issued for these programs as the focus is deliberately on applied capability, not credentialing. Having said that, every program includes:

Hands-on work on real tasks, tools, and use cases relevant to your team
Direct access to a mentor throughout the engagement, not just recorded content
Applied outputs from the engagement itself (e.g., a working prompt library, an automation prototype, a documented workflow) customized as per program
Questions

FAQs

No. Every TecQubes AI training program is mentor-led, hands-on and delivered live, either online, offline, or a mix of both.
Not currently. Our programs focus on applied, on-the-job skill-building rather than formal certification.
It depends entirely on the tier and scope – anywhere from a short, focused briefing to a deep, extended specialization track. We’ll recommend the right length for your goals during the discovery call.
Yes! Online, in-person, or a blended mix, based on what works for your team or campus.
These programs are designed for corporate teams and university cohorts, not individual self-enrolment.
Every engagement starts with a discovery call. The course list above is a starting point. Final scope, duration, and depth are shaped around your actual goals.

Let's build real AI capability in your team / institution

Book a call with us to design a program around your goals.

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Tell us a bit about your team or institution and we'll get back to you to schedule a time.