Becoming an AI-First Company
At DAC.infomotion, we are making a strategic shift to put AI at the core of our services. To support this, we’re launching a series of lectures and training sessions designed to build AI literacy across the entire company: from sales and marketing to engineering and operations.
Give every team member the knowledge and confidence to talk about AI with clients, understand their challenges, and help design the right solutions.
We break down complex terminology into simple language, linking concepts to practical use cases and our daily tech stack. To support this, we have curated video lessons from established industry educators.
The Philosophy: From Theory to Practice
This training isn’t about turning everyone into AI researchers; it’s about giving you the practical skills to start using AI effectively right away.
You don’t need a PhD in machine learning to build useful AI-powered tools. Modern AI stacks and toolchains hide most of the complexity, letting you focus on solving problems rather than deciphering algorithms.
Think of it like using a calculator: you don’t need to know exactly how the circuits work inside to benefit from the math.
Or like modern programming: developers build beautiful, complex apps without ever touching assembly language. The same applies to AI in our daily work.
How This Course Works
In this course, we flip the traditional requirement of mastering theory first. While we provide a solid foundation of concepts (Tier 0), it is not a prerequisite. You are encouraged to jump straight into practical, hands-on projects in Tier 1 and revisit the theory only when you want to understand the 'why' behind the 'how'.
Our training is built to be very hands-on. Each tier contains exercises to help you:
- Ground your understanding using real-world examples.
- Expand your skills step-by-step.
- Learn to use new tools (Ollama, Qdrant, LangChain) through direct practice.
The Curriculum
Tier 0: Foundations
Start here. Master the terminology (LLMs, Tokens, Context) and core concepts before writing code. Understand the "Why" and "How" of modern AI.
Tier 1: Connect
Basic Use & Integration. Gain fundamental knowledge and learn how to integrate ready-to-use AI services into applications and your daily developer routine.
Tier 2: Customize
Improve & Specialize. Move beyond ChatGPT. Learn to extend AI capabilities by customizing existing models, using Vector Databases, and applying RAG (Retrieval-Augmented Generation).
Tier 3: Create
Build Tailored Solutions. Develop and deploy your own AI agents and custom models for unique, domain-specific problems.