How to Learn AI | AI for Software Development

Why Us?

We build on years of industry experience creating professional software, data, and analytics solutions. We worked with many different customers, among them large well-known enterprises.

We draw from years of leadership experience and academic research. We have successfully grown software, data, and machine learning teams. We published on machine learning and reinforcement learning at premier international venues such as NeuRIPS, IJCAI, AAAI, ICML, and AAMAS.

And now, we want to empower you on your AI journey.

For The Forward-Thinking User

Interested in leveraging AI to optimize your workflow? Look no further. Our user-focused curriculum is designed to help you:

Understand AI Use Cases: Learn how AI can be seamlessly integrated into your existing workflows to enhance productivity and efficiency.
Rework Workflows: Reimagine your processes and discover how AI can be tailored to best suit your operational needs.
Connect with Context: Gain insights on how to blend AI technologies, like large language models, with your unique data for personalized results.
Workflow Assistance: Explore how to construct AI systems that can manage and combine workflow steps, offering you a smooth, intuitive experience.
Data Privacy: Prioritize the protection of your information with strategies to keep your data secure within AI environments.

For the Innovative Developer

Dive into the practical side of AI with our developer-centric modules featuring:

AI APIs & Frameworks: Master the use of existing AI APIs and frameworks to build robust AI applications.
RAG Applications & Autonomous Agents: Learn to create sophisticated apps and agents capable of autonomous functions in complex scenarios.
Quality Assurance for AI: Navigate through the nuances of AI system assessment, testing, and maintaining impeccable quality standards.
AI User Experience: Explore the subtle art of AI interaction, ensuring users feel comfortable and engaged with your AI solutions.

Choose Your Path:

Python Power Users: Develop web-based AI applications using Python and Streamlit.
Node Masters: Create impactful AI-driven web apps using SvelteKit and Node.js.

Demystifying AI Fundamentals

Build a rock-solid foundation with our essential AI knowledge base, clarifying:

The Anatomy of LLMs: How Large Language Models are constructed and operate.
RAG & Knowledge Graphs: Understanding their role in expanding basic AI systems to cater to specific contexts.
Fine-tuning and Adapters: Learn what these are, how they enhance AI systems, and their role in your projects.
Agent Technologies: Explore the world of AI agents and their increasing significance in the tech landscape.