Understand the tools.
Build a clear foundation before moving into complex systems.
GANAXMI LEARNING AWS / AI
Cloud and AI skills grow through practice. Learn online with live labs, guided projects, and a team that works with these technologies every day.
Explore learning pathsAWS CLOUD / ARTIFICIAL INTELLIGENCE
Six ways to build practical capability, from cloud fundamentals to architecture, DevOps, machine learning, and LLM applications.
Start with cloud essentials: core AWS services, security, pricing, and the console.
Explore this path ↗ CLOUD / ARCHITECTURE02Design resilient workloads across compute, storage, networking, and databases.
Explore this path ↗ CLOUD / DELIVERY03Build delivery pipelines and infrastructure as code for dependable releases.
Explore this path ↗ AI / FOUNDATION04Move from Python foundations to practical models, experiments, and evaluation.
Explore this path ↗ AI / APPLICATIONS05Build useful LLM applications with retrieval, vector search, and clear prompts.
Explore this path ↗ CLOUD + AI / COMPLETE06Connect cloud architecture and generative AI in one guided learning path.
Explore this path ↗The strongest skills come from working through a problem, seeing what breaks, and improving the result. Our learning paths are designed around that cycle.
Build a clear foundation before moving into complex systems.
Turn concepts into hands-on work in the cloud and with AI models.
Connect the pieces through guided projects and practical exercises.
Tell us which path interests you. We will help you find the right starting point and share current program details.