How Can ArchAI Help Your Small Business
Designed to move beyond theory, ArchAI Academy helps you understand how intelligent systems see and interpret the world. Through real-world data, computer vision demos, and hands-on labs, you’ll learn to build perception-enabled AI models that make decisions with awareness, efficiency, and safety.
Small Businesses (SMBs)
Small & Medium Businesses (SMBs)
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AI Overview for Business Owners
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What AI/ML can and cannot realistically do
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Common SMB use cases (automation, customer insight, forecasting)
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Data Readiness
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Identifying and cleaning your own business data
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Simple pipelines for organizing data for ML
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Tooling & Environments (Without Overwhelm)
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High-level view of Python, environments, and cloud tools
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When to use no-code/low-code vs. custom code
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Practical ML for SMBs
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Demand prediction, basic customer segmentation
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Simple recommendation or scoring models
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APIs & Integrations
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Calling AI services via APIs (e.g., LLMs, vision APIs)
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Connecting AI outputs back into existing workflows (CRM, spreadsheets, dashboards)
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Real Projects for Their Business
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Guided, business-specific mini-project (e.g., churn prediction, lead scoring)
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Measuring ROI and deciding what to scale
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Governance, Cost & Risk
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Data privacy basics
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Estimating costs of using AI services
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Knowing when to bring in external consultants
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AI isn’t just for big tech companies. In this track, small and medium business owners and managers learn practical, no-nonsense ways to apply AI to their own operations.
We start by exploring real use cases: forecasting demand, understanding customers better, ranking leads, automating repetitive tasks, and more. Participants learn how to assess the quality of their data, choose the right tools (from no-code platforms to Python-based solutions), and connect AI services to the systems they already use.
Each participant works on a guided mini-project directly tied to their business, so the learning is immediately relevant. We also cover the basics of costs, privacy, and risk, helping SMBs make smart, confident decisions about when and how to invest in AI.
End-to-end AI, from UNIX to deployment and LLMs.
what students will learn
What They’ll Learn
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Understanding practical AI/ML use cases for SMBs
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Assessing and cleaning business data for AI projects
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Choosing between no-code, low-code, and custom solutions
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Demand forecasting and basic customer segmentation
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Simple recommendation or scoring models
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Using AI services via APIs (e.g., LLMs, vision tools)
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Connecting AI outputs to CRMs, spreadsheets, and dashboards
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Estimating costs, managing privacy, and understanding risk
Participants in this program learn how to apply artificial intelligence in realistic, cost-effective ways that directly support their business operations. The focus is on understanding what AI can and cannot do, identifying high-value use cases, and making informed decisions rather than chasing trends.
Business owners and managers learn how to assess and prepare their own data, choose the right tools, and integrate AI solutions into existing workflows. Through guided, hands-on work, participants explore forecasting, customer insights, lead scoring, and process automation. By the end of the program, learners are equipped to evaluate ROI, manage risk, and confidently decide when and how to scale AI within their business.
course details
This is a hands-on, project-driven program designed for students who want serious technical depth and real-world experience.
Course Term
6 weeks
Format
In-person, small-group sessions with guided instruction and practical exercises
Experience Level
No advanced technical background required
Tools & Technologies
No-code and low-code AI tools, Python-based workflows, cloud AI services, APIs
Course Fee
$399
Final Outcome
A guided mini-project tailored to your business (e.g., lead scoring, churn prediction, or demand forecasting), plus a clear framework for measuring ROI and deciding what to scale.
AI ACADMEY
Customer Service Based AI Learning