NAIA Innovation AI Academy

Learning Portfolio

A complete curriculum, from foundations to deployment.

Three pillars, taught through NVIDIA-certified, industry-aligned curricula — spanning the analytical groundwork every AI initiative needs, the core technology behind it, and the applied skills to put it to work in a real organization.

Most modules run as focused, 3-day formats. The catalog also includes dedicated tracks in AI project management and AI ethics & regulatory compliance (GCC, EU, UK, and US frameworks) — get in touch for a tailored curriculum map.

01

Data Science

The analytical foundation every AI initiative depends on.

  • Data Science Fundamentals
  • Big Data & Spark
  • SQL for Data Engineering
  • Time Series Analysis
  • Data Visualization
  • Data Engineering & Pipelines
02

AI Core Technology

The technical depth behind production-grade AI systems.

  • Machine Learning
  • Deep Learning
  • Neural Networks
  • Computer Vision
  • Natural Language Processing
  • Cloud & MLOps
  • Cybersecurity
03

AI Applications

Business-focused training on building for real organizational contexts.

  • Prompt Engineering
  • Retrieval-Augmented Generation (RAG)
  • Agentic AI
  • LLM Architecture
  • Multimodal Models

Enterprise Engagement

A partnership, not just a course catalog

Our four-step engagement model for enterprise clients.

  1. 01

    Assess

    Evaluate current skill levels, business goals, and priority use cases.

  2. 02

    Design

    Co-build a tailored learning path across our three pillars and full curriculum.

  3. 03

    Deliver

    Train through NVIDIA-certified, expert-led digital and guided sessions.

  4. 04

    Certify & Support

    Certify participants and provide ongoing support as your AI needs evolve.

Ready to map a learning path for your team?

Book a Consultation →