Mirai Labs — AI Academy
Where AI Theory Meets Practice
Expert-led, in-person programs focused on practical AI. Learn how modern systems move from research concepts to real-world applications.
AI's Global Impact
AI in Numbers
Artificial intelligence is unlocking new opportunities for businesses across the Gulf and Middle East. AI adoption is not a trend, it's a competitive advantage.
Competitive AdvantageChatbot Adoption
of companies currently use chatbots for customer service
Market Value by 2027
projected AI transaction market value globally
GDP Boost by 2030
expected global GDP increase from AI adoption
Productivity Gain
of businesses report improved productivity after AI integration
AI Academy
Three Courses for All Levels
AI Academy simplifies AI and ML concepts across three learning levels, making AI accessible for executives, non-coders, and developers alike.
Course 01
Business LeadersAI for Executives
Designed for business leaders to understand AI fundamentals, real-world applications, and how to build an AI adoption strategy for their organisation.
AI Fundamentals
An overview of artificial intelligence, its opportunities, and challenges in today's business landscape.
AI in Practice
Types of artificial intelligence and real-world applications from enterprise automation to generative tools.
AI Strategy
Designing and implementing an AI strategy for your organisation. Challenges, opportunities, and roadmap.
Course 02
Managers & UsersNo-Code AI
For managers and business users to explore AI, ML fundamentals, neural networks, and generative AI without writing a single line of code.
AI & ML Intro
Introduction to artificial intelligence and machine learning. Types, concepts, and how they apply to your work.
Classical AI
Classical artificial intelligence algorithms. How they work, what they solve, and where they are used today.
Generative AI
Generative artificial intelligence and its applications in language processing, content generation, and beyond.
Course 03
DevelopersAI with Coding
Advanced technical training for developers covering ML algorithms, neural networks in Python, deep learning architectures, and building generative AI models.
Classical ML
Programming classical machine learning algorithms in Python. Classification, clustering, and evaluation.
Deep Learning
Neural networks, deep learning architectures, and training algorithms. Built and tested in Python.
Generative AI & LLMs
Generative AI models and coding large language models. From fine-tuning to production deployment.
Course 01
Business LeadersAI for Executives
Designed for business leaders to understand AI fundamentals, real-world applications, and how to build an AI adoption strategy for their organisation.
AI Fundamentals
An overview of artificial intelligence, its opportunities, and challenges in today's business landscape.
AI in Practice
Types of artificial intelligence and real-world applications from enterprise automation to generative tools.
AI Strategy
Designing and implementing an AI strategy for your organisation. Challenges, opportunities, and roadmap.