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AI & Automation

AI & Automation Essentials

Course Overview

This course is a practical introduction to AI powered automation. You will learn core LLM concepts, prompt patterns that produce consistent results, and how to turn those prompts into repeatable workflows. You will also build simple agent style automations that can call tools, use structured outputs, and include guardrails to reduce errors.

Key Points

Understand LLM basics, strengths, and common failure modes

Write prompts that are clear, reusable, and easy to evaluate

Create workflows that chain steps and validate outputs

Use structured outputs and guardrails for reliability

Automate tasks with APIs, webhooks, and integrations

Build lightweight AI agents that can use tools safely

Evaluate quality and reduce hallucinations with checks

Handle secrets and user data safely in automations

Course Outline

Module 1: AI & Automation Landscape

  • Where AI adds value in workflows
  • Automation types and tradeoffs
  • Choosing the right autonomy
  • Examples and case studies

Module 2: LLM Basics + Prompt Engineering

  • How LLMs work at a high level
  • Prompt patterns and constraints
  • Few shot examples and templates
  • Prompt debugging workflow

Module 3: Reliable Workflows

  • Chaining steps with clear I O
  • Structured JSON outputs
  • Validation and human review
  • Quality checks and monitoring

Module 4: Automation with APIs + Webhooks

  • Calling APIs and auth basics
  • Webhooks and event driven flows
  • No code automation patterns
  • Error handling and retries

Module 5: Agents + Tool Use

  • When to use agents
  • Tool calling and permissions
  • Memory and context management
  • Safety boundaries

Module 6: Evaluation + Deployment

  • Test prompts with datasets
  • Measure accuracy and consistency
  • Release process and rollback
  • Operational monitoring
Ahsan Akhtar
Senior Test Automation Engineer & AI Trainer

This Course Includes

Duration 4 weeks

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