Prerequisites
No prior experience required for beginner tracks
A laptop and reliable internet for online classes
Data Science & Analytics
Automate repetitive work and business processes with generative AI, workflow platforms, APIs, agents, and responsible human oversight.
What you will learn
Upcoming classes
Admissions will confirm the start date, class time, learning format, and availability before you make a commitment.
Ask for the next class dateCurriculum
Artificial intelligence, machine learning, generative AI, and automation
Identify repetitive, rules-based, and judgement-based work
Map an existing process and define measurable automation goals
Write reliable instructions, examples, constraints, and output schemas
Manage context, reusable prompt templates, and evaluation criteria
Reduce hallucinations with verification and human review
Triggers, actions, conditions, loops, branching, and error paths
Design idempotent workflows and avoid duplicate processing
Document a workflow with inputs, outputs, owners, and controls
Build workflows with n8n, Make, or Zapier
Connect forms, email, spreadsheets, calendars, CRM, and messaging tools
Test, monitor, version, and troubleshoot an automation
HTTP methods, authentication, JSON, pagination, and rate limits
Receive and validate webhooks safely
Transform, filter, and route structured business data
Extract, classify, summarize, and generate business documents
Automate email drafting, routing, follow-up, and approval
Protect personal and confidential information
Embeddings, vector search, chunking, and source grounding
Build a knowledge assistant over approved documents
Evaluate citations, relevance, freshness, and access control
Agent planning, tools, memory, limits, and guardrails
Choose deterministic workflows versus agentic execution
Build a supervised agent for a bounded business task
Customer support, lead operations, finance, HR, and reporting use cases
Add approvals, escalation, audit trails, and exception handling
Calculate time saved, cost, quality, and operational risk
Retries, timeouts, queues, fallbacks, alerts, and dead-letter handling
Log decisions and trace data across connected systems
Build a test suite with representative and adversarial cases
Bias, privacy, security, copyright, transparency, and acceptable use
Define data retention, access, human accountability, and incident response
Conduct a lightweight automation risk assessment
Select and scope a real Loctech-style business process
Build an end-to-end production-ready automated workflow
Demonstrate controls, monitoring, documentation, and business impact
Before the first class
No prior experience required for beginner tracks
A laptop and reliable internet for online classes
ChatGPT or equivalent approved AI tools
n8n, Make, or Zapier
REST APIs and webhooks
Spreadsheets and business applications
Project experience
Completion credential
Verifiable Loctech certificate of completion with an industry-aligned curriculum.
Questions answered
Beginner tracks assume no prior experience.
Yes — most programs run hybrid and online with live instructor-led classes.
Yes — a verifiable Loctech certificate on completion.