AI & Automation Essentials
Course Overview
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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MeetAhsan is an IT training institute in Lahore, Pakistan. Explore courses in software testing, test automation and technology, along with workshops and learning resources.
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