This module shows how Generative AI fits into everyday business work. You’ll see where it helps in marketing, sales, HR, finance and operations. It's the part of our Generative AI course that connects what you’ve learned to real jobs.  

What You'll Learn

• AI for marketing

• AI for sales

• AI for customer support

• AI for HR

• AI for recruitment

• AI for finance workflows

• AI for operations

• AI for research

• AI for business analysis

• AI-powered reporting

• AI document processing

• AI meeting management

• AI knowledge management

• AI-assisted decision making

This module shows you how to connect AI tools with the apps businesses use every day, without needing to write code. You'll build automations that run on their own and save real time. It's the heart of our no code AI automation course.  

What You'll Learn

• Introduction to workflow automation

• No-code vs low-code automation

• Automation triggers

• Actions and conditions

• Workflow logic

• Data mapping

• Connecting applications

• Webhooks fundamentals

• AI-powered workflows

• Automated content generation

• Automated email workflows

• Automated lead processing

• Automated notifications

• Error handling

• Workflow testing

Tools Introduced

• Make

• Zapier

• n8n

• Google Workspace

• Airtable

• Notion

This module explains how AI applications talk to other systems behind the scenes. You’ll learn how APIs work and how to connect AI models with the tools a business already uses. It’s a practical step in our AI automation training.  

What You'll Learn

• Introduction to APIs

• REST APIs

• HTTP methods

• GET, POST, PUT and DELETE

• API requests and responses

• JSON fundamentals

• API authentication

• API keys

• Webhooks

• Connecting AI models with applications

• Using AI APIs

• API testing

• API integration workflows

• Error handling

• Rate limits and usage considerations

This module shows how AI can handle the paperwork side of a job. You’ll learn to process documents, pull out key information, summarize data, and automate the repetitive tasks that eat up our day. It’s a hands-on part of our AI automation training.

What You'll Learn

• AI document processing

• PDF analysis

• Data extraction

• Document summarization

• Information classification

• Structured data extraction

• AI-assisted spreadsheet workflows

• AI-powered data analysis

• Email data processing

• Automated report generation

• Knowledge management

• Document workflows

• Human-in-the-loop workflows

• Data privacy considerations

Here you build automation solutions that look a lot like real business work. Each project puts your workflow, prompt and integration skills to use in one place. It’s where the Generative AI and AI automation professional program starts to feel like a job.  

Projects

• AI Lead Management Automation

• AI Customer Support Workflow

• AI Resume Screening Workflow

• AI Content Repurposing System

• AI Document Processing Workflow

• Automated Business Reporting System

This module gets into how AI can pull answers from your own data instead of just guessing from what it already knows. You’ll learn to build systems that search real documents and give responses grounded in actual context. It’s a key skill in the Generative AI and AI Automation Professional Program. 

What You'll Learn

• Introduction to RAG

• Limitations of standard LLMs

• Knowledge bases

• Document ingestion

• Text chunking

• Embeddings

• Vector databases

• Semantic search

• Retrieval

• Context injection

• RAG architecture

• Building knowledge-based AI assistants

• RAG evaluation

• Introduction to vector databases

This module ties everything together. You’ll combine AI models, APIs, automation platforms and user interfaces to build applications people can actually use, not just prototypes. It's one of the more complete modules in the Generative AI and AI automation Professional Program.  

What You'll Learn

• AI application architecture

• AI APIs

• Model selection

• API integration

• User input processing

• AI response handling

• Structured outputs

• Application workflows

• AI-powered chatbots

• AI assistants

• Document Q&A systems

• AI content applications

• AI business applications

• Application testing

• Deployment fundamentals

This module is about spotting the repetitive work inside a business and turning it into something that runs on its own. You’ll map out real processes and rebuild them as smart automated workflows. It' one of the final, more advanced steps in this AI automation training. 

What You'll Learn

• Business process analysis

• Identifying automation opportunities

• Workflow mapping

• AI-powered decision workflows

• Intelligent document processing

• Automated customer support

• Automated lead qualification

• Automated CRM workflows

• AI-powered reporting

• Automated email management

• Automated content workflows

• Multi-application workflows

• Human approval workflows

• Error handling and recovery

• Automation monitoring

• Workflow optimization

This module brings coding into the picture. You’ll pick up the Python basics needed to build automations that are more flexible than what no code tools alone can do. It's a natural next step after the no code AI automation modules in this program.  

What You'll Learn

• Python fundamentals for AI automation

• Variables and data types

• Functions

• Conditional logic

• Loops

• Working with APIs using Python

• JSON processing

• API authentication

• Web requests

• Data processing

• Connecting Python with AI APIs

• Building simple AI automation scripts

• Automating repetitive tasks

• Integrating Python with workflow platforms

• Error handling

• Basic application deployment

This is where it all comes together. You’ll build one complete, end to end AI automation project that pulls in everything from the program: Generative AI, automation, APIs, agents and real business workflows. It's the final proof that you can actually do this, not just talk about it.  

Capstone Project Process

Business Problem → Process Analysis → Automation Strategy → AI Model Selection → Prompt Design → API Integration → Workflow Automation → AI Agent / RAG Integration → Testing → Monitoring → Deployment → Documentation

Capstone Project Options

Students can develop projects such as:

• AI Customer Support Automation

• AI Lead Qualification & CRM Automation

• AI Recruitment Assistant

• AI Marketing Automation System

• AI Document Processing System

• AI Knowledge Base Assistant

• AI Sales Assistant

• AI Business Reporting Automation

• AI Content Automation System

• AI Research Assistant