Build job-ready skills with our Classroom and Online AI Application Development Training at WebAsha Technologies. Classes are hands-on and built around the work employers hire for.
Training overview:
This is a job-oriented program on building full AI-powered applications end to end. It covers designing AI apps, backends with FastAPI, integrating LLMs (OpenAI and open models), RAG and vector databases, tools and agents, front-ends with Streamlit and React, authentication and databases, streaming, cost and observability, and deploying AI apps to the cloud, all through real projects you can add to your portfolio.
Intended audience:
The course suits developers and AI aspirants who want to become full-stack AI developers and build complete, deployable AI-powered applications.
Topics covered:
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AI app design: Architecture and patterns.
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Backends: FastAPI for AI.
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LLM integration: OpenAI and open models.
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RAG & vectors: AI answers grounded in your data.
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Tools & agents: AI features that can call tools and take actions.
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Front-ends: Streamlit and React.
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Auth & databases: What a real application needs.
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Deployment: Cloud and Docker.
Requirements:
Basic computer familiarity is recommended. Online participants need a stable internet connection and a laptop/desktop for the live labs.
Prerequisites:
Basic Python knowledge is recommended. Familiarity with LLMs (our Generative AI course) is a helpful companion; the course builds full-stack AI skills from there.
Career benefits:
Employers pay well for AI app development skills. In India, AI application developers typically earn ₹6 LPA to ₹42+ LPA.