Advanced AI & Deep Learning
- PyTorch & custom neural networks
- Attention & transformer architectures
- RAG with FAISS & LangChain
- Production deployment & latency tuning
1-on-1 mentor syncs · Graduation certificate
GAS AI EDUCATION / VIRTUAL LAB
FOR STUDENTS. FOR BUILDERS.A place to explore practical technology, work on projects, and discuss remote learning and internship opportunities with GAS AI.
Confirm program availability, eligibility, mentorship, delivery format, and any fees with our team.
const yourNextStep = {
curiosity: "always on",
mode: "hands-on",
possibilities: "open"
};
GAS VIRTUAL LAB · LAB.GASAI.IN
lab.gasai.in is Green Automation Solution’s R&D virtual internship lab. Selected interns spend six months building production-grade projects in AI, IoT, robotics, embedded C, and web, guided by GAS engineers.
1-on-1 mentor syncs · Graduation certificate
1-on-1 mentor syncs · Graduation certificate
1-on-1 mentor syncs · Graduation certificate
1-on-1 mentor syncs · Graduation certificate
Sign in to your lab workspace and fellowship projects.
Sign inSign in to guide your interns through mentor syncs.
Sign inSign in to run the lab and its cohorts.
Sign inCheck a GAS intern’s certificate number against the lab’s registry.
Verify a certificateEXPLORE YOUR INTERESTS
Explore these technology areas with the team.
Program scope is confirmed before joining.
Explore data, models, and the foundations of intelligent systems.
Discuss this areaWork with images and experiment with visual recognition.
Discuss this areaExplore language models, retrieval, and conversational applications.
Discuss this areaInvestigate tool use, task planning, and AI workflows.
Discuss this areaConnect tools and build useful workflow experiments.
Discuss this areaBring interfaces, APIs, and data together in a working app.
Discuss this areaConnect sensing, software, and the physical world.
Discuss this areaExplore microcontrollers, electronics, and connected prototypes.
Discuss this areaFROM INTEREST TO EXPERIMENT
Tell us what you know, what interests you, and what you’d like to build.
Discuss prerequisites, project scope, guidance, and program availability.
Experiment, document your work, and learn from what the project teaches you.
GAS AI EDUCATION / LET’S TALK LEARNING