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    Botspot AI Workbench
    Botspot Campus

    Campus

    Build Real AI Agents — From Scratch to Deployment

    An intensive hands-on masterclass covering AI agent creation, prompt engineering, model integration, RAG workflows, real-world use cases, and scalable AI solutions.

    8
    Hours Hands-On
    4
    Core Modules
    4+
    Live Projects
    100%
    Practical Focus

    Why Botspot

    The one powerful platform to build AI that works in the real world.

    Complete Ecosystem

    From prompting and automation to model selection, RAG, and workflows — everything in one platform.

    Build, Test & Deploy

    No need to manage multiple tools. Build, test, and deploy seamlessly in one place.

    Full Runtime Control

    Structured agents, deep customization, and full runtime control — you stay in complete command.

    Production-Ready AI

    Designed not just to use AI, but to create scalable, production-ready AI systems.

    Where your faculty build the AI your campus runs on

    AI orchestration for education — designed for curriculum, built by faculty, trusted by institutions.

    What is Botspot Campus?

    Botspot Campus is an AI orchestration platform for higher education.

    This is not just a chatbot.

    It's a campus-wide AI system.

    It enables

    • Faculty to build AI workflows
    • Students to use structured AI tools
    • Institutions to manage AI securely

    The 3 Core Pillars

    1

    Workflows, Not Just Prompts

    Move beyond chat-based AI.

    • Multi-step AI pipelines
    • Consistent, repeatable outputs
    • Assignment-ready workflows

    Faculty design structured experiences, not random responses.

    2

    Faculty as AI Creators

    Turn professors into AI builders.

    • No-code agent creation
    • Course-specific AI tools
    • Reusable across semesters

    Your campus builds its own AI ecosystem.

    3

    Multi-Model Learning

    Expose students to multiple AI systems.

    • GPT + Claude + Gemini
    • Side-by-side comparison
    • Critical thinking development

    AI becomes a learning tool, not just an answer machine.

    How It Works on Campus

    Curriculum

    • AI workflows integrated into assignments
    • Standardized outputs across students
    • Improved grading consistency

    Research

    • Multi-model literature analysis
    • Structured research pipelines
    • Enhanced critical evaluation

    Administration

    • AI-powered student support
    • 24/7 FAQ handling
    • Analytics on student challenges

    Why Institutions Choose Botspot

    Built for Education

    • Student, faculty, admin roles
    • Curriculum-aligned templates
    • Academic workflows

    Enterprise-Ready

    • SSO integration
    • Role-based access
    • Audit logs
    • FERPA-aligned data handling

    Faculty-First Design

    • No technical skills required
    • Designed for teaching workflows
    • Not dependent on IT teams

    Botspot vs Alternatives

    CategoryBotspotChatGPT Edun8n
    Workflows
    Faculty-built agents(no-code)
    Multi-model AI
    Education-focusedPartial
    Ease of useHighMediumLow

    Botspot is the only platform built specifically for curriculum-driven AI workflows.

    Built for Procurement

    Compliance, security, and data controls that institutional buyers expect — built in from day one.

    What's included

    • FERPA-aligned data handling
    • No training on student data
    • Exportable data
    • SOC 2 (status transparent)
    • Data residency options

    Implementation Timeline

    Step 1

    Week 1–2

    Setup + SSO

    Step 2

    Week 3

    Faculty onboarding

    Step 3

    Week 4

    Student rollout

    Adoption Strategy

    We don't just deliver software — we ensure usage.

    Success = faculty usage, not deployment.

    What's included

    • Faculty training included
    • Initial agent templates built
    • Department-level analytics
    • 90-day adoption review

    Botspot Campus is not a tool your students use.

    It is a Center of Excellence where:

    • Faculty build AI
    • Students learn with AI
    • Institutions scale AI responsibly

    Ready to bring Botspot to your campus?

    Program Overview

    This intensive 8-hour hands-on masterclass teaches you how to build production-ready AI agents using Botspot Workbench. Instead of just theory, this session focuses on practical implementation.

    Designing intelligent agents
    Engineering high-quality prompts
    Integrating models effectively
    Building data-driven AI systems (RAG)
    Creating workflows and pipelines

    Who Should Attend?

    • Students interested in AI / Automation / SaaS
    • Beginners who want to build AI without heavy coding
    • Developers exploring agent-based systems
    • Entrepreneurs building AI-powered products

    What You Will Learn

    • How AI agents actually work (beyond ChatGPT)
    • How to design and orchestrate agents using Botspot
    • Prompt engineering for reliable outputs
    • Model selection and optimization strategies
    • Building RAG-based AI systems with data
    • Creating real-world automation workflows

    Campus Session Structure

    8 Hours Total — 4 Intensive Modules

    1

    Part 12 Hours

    Agent Hub & AI Foundations

    • Introduction to AI Agents
    • Understanding orchestration concepts
    • Overview of Botspot Workbench
    • Building your first AI agent
    • Agent logic, roles, and execution flow
    2

    Part 22 Hours

    Prompt Center (Prompt Engineering)

    • Fundamentals of prompt engineering
    • Structuring prompts for consistency
    • Designing system prompts for agents
    • Handling edge cases and failures
    • Creating reusable prompt templates
    3

    Part 32 Hours

    Model Library & Runtime Configuration

    • Understanding different AI models
    • When to use which model
    • Cost vs performance trade-offs
    • Runtime configuration and tuning
    • Testing and evaluating model outputs
    4

    Part 42 Hours

    Data Layer, RAG & Workflows

    • Introduction to RAG (Retrieval-Augmented Generation)
    • Connecting data to AI agents
    • Building knowledge-based systems
    • Creating pipelines and workflows
    • Automating real-world use cases

    Hands-On Projects

    During the session, students will build:

    Smart Q&A AI Agent

    Build an intelligent question-answering agent powered by AI

    Automated Response Generator

    Create agents that generate accurate, context-aware responses

    Data-Powered AI (RAG Agent)

    Build AI systems that leverage your data for smarter outputs

    Workflow-Driven AI Automation

    Design end-to-end automated workflows powered by AI agents

    Key Features of Botspot Covered

    Agent Hub (Orchestration Engine)
    Prompt Center (Prompt Engineering Studio)
    Model Library (Model Selection & Testing)
    Data Layer (RAG Integration)
    Pipelines & Data Workflows
    Runtime Configuration

    Outcomes

    After completing this session, students will be able to:

    Build AI agents from scratch
    Design structured prompts
    Integrate multiple AI models
    Use data to enhance AI responses
    Create automated workflows
    Develop real-world AI applications

    How Income is Generated

    Botspot enables users to turn their AI agents into income-generating products

    01

    Create an AI Agent

    Build practical agents such as chatbots, automation tools, or business assistants.

    02

    Publish to Marketplace

    List your agent on the Botspot marketplace, making it available for others to use.

    03

    User Adoption & Usage

    Businesses or individuals use your agent for their needs.

    04

    Revenue Generation

    As your agent gets used, you earn based on its usage or subscriptions.

    Build once. Publish. Earn continuously.

    If you actively practice during the campus plan and gain strong proficiency, you can leverage the Launcher Plan to create income-generating opportunities.

    Ready to Start Your AI Journey?

    Join the Botspot Campus and learn to build, deploy, and monetize real AI agents.