AI Education
Unlock Practical AI Training To Upskill Your Teams & Organization
Powered By
Cloud And AI Partners
Developed By
Learning Experience & Curriculum Design Experts
Validated By
World-Class Universities & Private Companies
A-IQ is Binome’s academy, an educational initiative to create AI literacy and execution expertise for technical and non-technical individuals, teams, and organizations.
Through A-IQ, all stakeholders can unlock greater understanding of the AI landscape through bespoke interactive workshops and courses, powered by cloud and AI partners, developed by learning experience and curriculum design experts, and validated by world-class universities and private companies.
Courses available upon request.
Our Latest Courses
For Developers
RAG Chatbot Simulation
Experience a day-in-the-life of an AI engineering team. In groups that mirror the technical departments of an organization, this collaborative guided simulation teaches participants to create a functioning AI chatbot.
For Non-Developers
Prompt Engineering 101
Gain a foundational understanding of AI’s role in business operations, along with practical tools and techniques to leverage generative AI models for increased individual productivity, team efficiency, and competitive advantage.
For Developers
Foundations of Agentic AI
This hands-on workshop teaches participants how to design, develop and orchestrate multi-agent AI systems. Through guided exercises, attendees will define agent roles, implement communication and coordination protocols, and evaluate end-to-end workflows to build robust, scalable autonomous solutions.
For Non-Developers
Launching An AI Agent Pilot
Gain a strategic roadmap for piloting AI agents in your organization, with risk-management frameworks and success metrics to design efficient, scalable pilots that deliver measurable business impact while minimizing operational exposure.
For Developers
Foundations of Fine-Tuning
This practical workshop introduces participants to the art of adapting pretrained models for domain-specific tasks. Guided exercises cover dataset preparation, hyperparameter optimization, training pipeline setup and performance evaluation, culminating in a fine-tuned model optimized for real-world applications.
For Non-Developers
AI Safety & Ethics
Gain critical insights into AI safety and ethical governance, with practical frameworks to identify and mitigate biases, ensure compliance, and foster responsible AI practices that protect stakeholders and uphold organizational values.