AI Automation Course in Chakwal
Build workflows that run themselves - n8n, Make, APIs and AI agents - then sell automation as a service to businesses that are still doing it by hand.
- Duration
- 2 or 6 months
- Level
- Beginner to professional
- Timings
- Flexible — ask us
- Fee
- Contact us — 0309 0571403
Businesses pay for the thing that runs without them
Knowing how to prompt ChatGPT is not a skill anybody pays for any more. What sells is a form that files itself, an enquiry that gets read, sorted and answered before anyone opens a laptop, a weekly report that writes itself on a Monday morning.
The course starts with prompt engineering because everything downstream depends on it, moves to no-code platforms like Make and Zapier, then goes past drag-and-drop into APIs, webhooks and JSON, and on to AI agents — finishing on how to find a business with a manual process, work out what it costs them, and quote for fixing it.
Who it is for- Freelancers who want a service to sell that most of the local market cannot yet deliver
- People already doing digital marketing, content or admin work who are losing hours to repetition
- Business owners who want to automate their own lead handling, follow-up and reporting
- Anyone comfortable with a computer. No programming background is assumed — the API month builds it from nothing
What you build
Every module ends in something working, not a quiz. You finish with a portfolio rather than a certificate.
Two tracks, one project a module
Not sure which track suits you? Call 0309 0571403 and we will tell you.
Eight weeks, one project a module, finishing with a complete automation you can show a client.
10 modules · 8 weeks01 Introduction to AI and automationWeek 1
Practical: find five real tasks in your own life or work that could be automated.
- What is artificial intelligence?
- AI versus automation versus AI automation
- Generative AI and large language models
- How businesses use AI
- AI tools and their applications
- Understanding AI workflows
- Identifying tasks that can be automated
- Introduction to prompts and instructions
02 Prompt engineeringWeeks 1-2
Practical: build your own prompt library.
- What is prompt engineering?
- Writing effective prompts
- Role, context, task and constraints
- Zero-shot and few-shot prompting
- Structured prompts
- Improving weak prompts
- AI for research, writing and content creation
- Getting consistent output from AI
03 AI tools for productivityWeek 2
Practical: assemble an AI-powered content and productivity workflow.
- AI for content writing
- AI for research
- AI for presentations
- AI for images
- AI for video
- AI for documents and data
- AI assistants and productivity tools
- Choosing the right AI tool for a task
04 No-code automationWeek 3
Practical: build an automation that receives information and processes it without you.
- What is no-code automation?
- Triggers and actions
- Workflows
- Connecting different applications
- Moving data between apps
- Conditions and filters
- Make, Zapier and similar platforms
- Building simple automated workflows
05 AI plus automationWeek 4
Project: an AI-powered email or content automation.
- Connecting AI with automation
- AI-powered decision making
- AI text generation inside workflows
- Data extraction using AI
- Automatic classification
- Summarisation workflows
- AI-powered email responses
- Human approval versus fully automated workflows
06 Business and marketing automationWeek 5
Project: an automated lead-management workflow.
- Lead generation automation
- Lead collection and organisation
- Automated email workflows
- Customer follow-up
- Social media content workflows
- Content repurposing
- Customer support automation
- FAQ and chatbot concepts
- CRM automation basics
07 AI chatbots and assistantsWeek 6
Project: a simple AI customer-support assistant.
- What is an AI chatbot?
- Chatbot versus AI assistant
- Knowledge bases
- FAQ-based assistants
- Customer-service assistants
- Website chatbot concepts
- Connecting assistants with workflows
- Testing and improving a chatbot
08 APIs and advanced automationWeek 7
Practical: connect an AI service to an automation workflow.
- What is an API?
- How applications talk to each other
- API keys and authentication
- Webhooks
- JSON basics
- Connecting tools through APIs
- Introduction to AI APIs
- Understanding automation errors
- Debugging workflows
09 Freelancing and the automation businessWeek 8
Capstone: one complete real-world automation. The worked example is a lead system - form to sheet, AI analyses and categorises the lead, a personalised email is written, a follow-up reminder is created and everything is stored automatically.
- Finding automation opportunities
- Identifying client problems
- Creating automation solutions
- Building an automation portfolio
- Creating service packages
- Pricing AI automation services
- Finding clients
- Writing proposals
- Client communication
- Maintaining and improving automations
10 AI ethics and safety
Taught as its own class rather than as an optional topic.
- Responsible AI use
- Privacy and personal data
- Copyright
- AI-generated misinformation
- Human verification
- Safe use of AI tools
- Cyber safety and digital citizenship
The same subject with room to breathe: a month each on fundamentals, automation, AI-powered workflows, APIs, agents, and the business of selling it.
19 modules · 6 months01 Introduction to AIMonth 1
- What is artificial intelligence?
- AI versus machine learning versus automation
- Generative AI
- Large language models
- How ChatGPT and similar tools work
- AI applications in everyday life
- AI in business
- The limitations of AI
- Responsible AI use
02 AI tools and productivityMonth 1
- AI for writing
- AI for research
- AI for presentations
- AI for images
- AI for video
- AI for documents
- AI for data analysis
- AI productivity workflows
03 Prompt engineeringMonth 1
Practical project: build a personal AI productivity system.
- What is a prompt?
- The anatomy of a good prompt
- Role, context, task and constraints
- Zero-shot prompting
- Few-shot prompting
- Chain-of-thought concepts
- Structured prompting
- Prompt templates
- Output formatting
- Prompt testing and optimisation
04 Understanding automationMonth 2
- What is automation?
- Manual versus automated workflows
- AI automation versus traditional automation
- Triggers
- Actions
- Conditions
- Filters
- Paths and branches
- Variables
- Data flow
- Workflow logic
05 No-code automation platformsMonth 2
Worked on Make, Zapier and similar platforms.
- Creating accounts
- Connecting applications
- Creating workflows
- Triggers and actions
- Filters
- Routers and branches
- Scheduling
- Error handling
- Testing workflows
06 Connecting applicationsMonth 2
Practical projects: form to Google Sheet; email through AI into a sheet; calendar to automatic reminder.
- Google Sheets
- Google Forms
- Gmail
- Google Drive
- Calendar
- CRM systems
- Communication tools
- Web-based applications
07 AI plus automationMonth 3
- Connecting AI models to workflows
- AI text generation
- AI classification
- AI summarisation
- AI data extraction
- AI decision-making
- Sentiment analysis
- Content generation
- Automated responses
08 AI content automationMonth 3
- AI content creation
- Blog automation
- Social media automation
- Content repurposing
- Caption generation
- Email generation
- Content approval workflows
- AI-powered content calendars
09 Business process automationMonth 3
Major project: an AI lead management system - new lead, AI analysis, classification, storage, personalised email, follow-up reminder.
- Lead generation
- Lead qualification
- Customer follow-up
- Email automation
- Customer support
- Data entry automation
- Reporting automation
- Document processing
10 Understanding APIsMonth 4
This is the month that takes students past drag-and-drop automation.
- What is an API?
- Why APIs matter
- API requests
- GET, POST, PUT and DELETE
- API endpoints
- Parameters
- Headers
- Authentication
- API keys
11 Webhooks and dataMonth 4
- What is a webhook?
- Webhook triggers
- Sending data
- Receiving data
- JSON fundamentals
- Reading JSON
- Formatting data
- Data mapping
- HTTP requests
12 AI APIsMonth 4
Practical project: build an API-based AI automation workflow.
- Connecting AI APIs
- Sending prompts through APIs
- Receiving AI responses
- Using structured AI output
- Connecting AI APIs to automation platforms
- Managing API keys securely
- Basic API troubleshooting
13 Introduction to AI agentsMonth 5
- What is an AI agent?
- AI assistant versus AI agent
- Agent workflow
- Tools and actions
- Memory concepts
- Knowledge sources
- Agent instructions
- Human-in-the-loop systems
14 AI chatbots and assistantsMonth 5
- AI chatbot fundamentals
- FAQ assistants
- Customer-support assistants
- Knowledge-base assistants
- Website AI assistants
- Document-based question answering
- Testing and improving assistants
15 Advanced AI workflowsMonth 5
Major project: build an AI customer-support assistant.
- Multi-step AI workflows
- AI decision-making
- Conditional AI workflows
- Using several AI models or tools together
- Human approval systems
- Automated research
- Automated reporting
- AI-powered document processing
16 Business automationMonth 6
Where the automation opportunities actually are, sector by sector.
- Marketing
- Sales
- Customer support
- HR
- Administration
- E-commerce
- Education
- Real estate
- Small businesses
17 Automation consultingMonth 6
- Finding business problems
- Automation opportunity discovery
- Workflow mapping
- Calculating time saved
- Designing automation solutions
- Choosing the right tools
- Creating automation proposals
- Documentation
- Maintenance
18 Freelancing and career developmentMonth 6
- AI automation freelancing
- Finding clients
- Creating an automation portfolio
- Fiverr and Upwork basics
- LinkedIn outreach
- Cold outreach
- Writing proposals
- Pricing automation projects
- Monthly maintenance packages
- Client communication
19 Capstone projectMonth 6
One complete AI automation system, built end to end.
- AI lead generation system
- AI customer support system
- AI social media automation system
- AI email marketing system
- AI appointment automation
- AI reporting and analytics system
- AI e-commerce automation
- AI business assistant
We also do this for businesses
Not here to learn it yourself? Our Software Development team does it as paid work. Software built around how your business already works, rather than the other way round - plus consulting and IT outsourcing, by the team in this building.
Ask about the next AI Automation batch
We will tell you the fee, the timings and when the next batch starts. Finish properly, and there is a paid internship after it.