Artificial Intelligence
AI & Automation Professional Program
Master AI, Automation, Agents & AI-Powered Applications - Build AI agents, chatbots, and automations that do real work. Improve business and workplace activities
12 weeks 12 Weeks | 48 Hours | Project-Based | Beginner to Professional Online, live + self-paced
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Course overview
This 12-week practical program is designed to equip learners with the knowledge and hands-on skills required to design, build, deploy and maintain modern AI-powered automation systems.
The course progresses from the fundamentals of Artificial Intelligence and workflow automation into practical use of Zapier, Make, n8n, Airtable, APIs, webhooks, LLMs, prompt engineering, chatbots, conversational AI, AI agents, agentic systems, MCP and vibe coding.
Learn to design, build, and deploy AI-powered systems — from chatbots and voice agents to end-to-end business automations. You'll work with modern LLMs, no-code and pro-code tools, and ship automations that save real businesses time and money.
Learners will build real-world automation projects throughout the program rather than learning the tools in isolation.
Learning outcomes
- By the end of the program, learners should be able to:
- Explain the fundamentals of AI, Generative AI, LLMs and automation.
- Identify business processes suitable for automation.
- Map and document automation workflows.
- Build no-code and low-code automations.
- Build workflows with Zapier.
- Build complex scenarios with Make.
- Build advanced and self-hosted workflows with n8n.
- Work with Airtable as an automation database.
- Understand APIs, webhooks, JSON and data transformation.
- Connect AI models such as ChatGPT, Claude and Gemini to workflows.
- Design effective prompts for automation.
- Extract, classify, summarize and transform information using AI.
- Build AI-powered chatbots.
- Build conversational AI systems.
- Understand AI agents and agentic automation.
- Build agents that use tools, knowledge and memory.
- Understand context engineering and agent reliability.
- Understand MCP and tool connectivity.
- Build AI-assisted applications using vibe coding.
- Use tools such as Lovable, Replit, Cursor or similar AI development platforms.
- Connect applications to databases and APIs.
- Test, debug and monitor automation systems.
- Design human-in-the-loop approval systems.
- Apply security, privacy and responsible AI principles.
- Package automation solutions as professional business services.
- Build a portfolio of practical AI automation projects.
Career opportunities
AI Automation Specialist AI Solutions Engineer Conversational AI Developer Workflow Automation Consultant AI Product Builder
Career pathway
- AI Automation Engineer
- AI Workflow Automation Specialist
- No-Code Automation Specialist
- AI Agent Builder
- AI Solutions Builder
- Freelance Automation Consultant / agency owner
- AI Operations Specialist
- Vibe Coding / AI App Builder
- AI Systems Designer
- AI Product Lead / Head of Automation
Course modules
1 Introduction to AI & Automation
(Introduction to Artificial Intelligence)
What is Artificial Intelligence?
History and evolution of AI
Traditional software vs AI systems
Machine Learning
Deep Learning
Generative AI
Large Language Models
Multimodal AI
AI assistants
AI agents
AI automation
AI copilots
Predictive AI vs Generative AI
Narrow AI vs general AI concepts
Understanding current AI tools
(Introduction to Automation)
What is automation?
Why businesses automate
Manual vs automated processes
Rule-based automation
Workflow automation
AI-powered automation
Agentic automation
No-code vs low-code vs code
Trigger → Processing → Decision → Action
Understanding automation architecture
Identifying repetitive tasks
Automation opportunity assessment
What is Artificial Intelligence?
History and evolution of AI
Traditional software vs AI systems
Machine Learning
Deep Learning
Generative AI
Large Language Models
Multimodal AI
AI assistants
AI agents
AI automation
AI copilots
Predictive AI vs Generative AI
Narrow AI vs general AI concepts
Understanding current AI tools
(Introduction to Automation)
What is automation?
Why businesses automate
Manual vs automated processes
Rule-based automation
Workflow automation
AI-powered automation
Agentic automation
No-code vs low-code vs code
Trigger → Processing → Decision → Action
Understanding automation architecture
Identifying repetitive tasks
Automation opportunity assessment
2 Prompt Engineering & Large Language Models (LLMs)
Understanding LLMs
• What is an LLM?
• Tokens
• Context windows
• Temperature
• Models and model selection
• Hallucination
• Knowledge limitations
• Structured output
• System instructions
• User instructions
• Context
• Few-shot prompting
• Chain-of-thought concepts
• AI limitations
Prompt Engineering for Automation
• Prompt anatomy
• Role
• Objective
• Context
• Constraints
• Input
• Output format
• Examples
• Validation criteria
• JSON output
• Prompt templates
• Reusable prompts
• Prompt chaining
• Classification prompts
• Extraction prompts
• Summarization prompts
• Decision prompts
• What is an LLM?
• Tokens
• Context windows
• Temperature
• Models and model selection
• Hallucination
• Knowledge limitations
• Structured output
• System instructions
• User instructions
• Context
• Few-shot prompting
• Chain-of-thought concepts
• AI limitations
Prompt Engineering for Automation
• Prompt anatomy
• Role
• Objective
• Context
• Constraints
• Input
• Output format
• Examples
• Validation criteria
• JSON output
• Prompt templates
• Reusable prompts
• Prompt chaining
• Classification prompts
• Extraction prompts
• Summarization prompts
• Decision prompts
3 Zapier Automations
Zapier Fundamentals
Topics
• Introduction to Zapier
• Zapier ecosystem
• Apps and integrations
• Triggers
• Actions
• Search actions
• Filters
• Formatter
• Paths
• Field mapping
• Data flow
• Testing Zaps
• Scheduling
• Multi-step Zaps
Advanced Zapier + AI
• Filters
• Paths
• Conditional logic
• Formatter
• Data transformation
• Webhooks
• AI by Zapier
• AI-powered classification
• AI summarization
• AI extraction
• Human approval
• Error handling
• Automation history
• Monitoring
Topics
• Introduction to Zapier
• Zapier ecosystem
• Apps and integrations
• Triggers
• Actions
• Search actions
• Filters
• Formatter
• Paths
• Field mapping
• Data flow
• Testing Zaps
• Scheduling
• Multi-step Zaps
Advanced Zapier + AI
• Filters
• Paths
• Conditional logic
• Formatter
• Data transformation
• Webhooks
• AI by Zapier
• AI-powered classification
• AI summarization
• AI extraction
• Human approval
• Error handling
• Automation history
• Monitoring
4 Make Automation
Make Fundamentals
• Introduction to Make
• Scenarios
• Modules
• Triggers
• Actions
• Mapping
• Operations
• Data structures
• Routers
• Filters
• Scheduling
• Iterators
• Aggregators
Advanced Make Automation
• Routers
• Multiple paths
• Conditional logic
• Iterators
• Aggregators
• Array processing
• Text functions
• Date functions
• Variables
• Error handling
• Webhooks
• HTTP module
• API integration
• Introduction to Make
• Scenarios
• Modules
• Triggers
• Actions
• Mapping
• Operations
• Data structures
• Routers
• Filters
• Scheduling
• Iterators
• Aggregators
Advanced Make Automation
• Routers
• Multiple paths
• Conditional logic
• Iterators
• Aggregators
• Array processing
• Text functions
• Date functions
• Variables
• Error handling
• Webhooks
• HTTP module
• API integration
5 n8n Automation
n8n Fundamentals
• What is n8n?
• n8n vs Zapier vs Make
• Cloud vs self-hosted n8n
• Workflows
• Nodes
• Triggers
• Credentials
• Expressions
• Data mapping
• JSON
• IF nodes
• Switch nodes
• Merge
• Looping
• HTTP Request
Advanced n8n
• Webhooks
• APIs
• HTTP requests
• JSON manipulation
• Expressions
• JavaScript basics
• Data transformation
• Error handling
• Retry logic
• Workflow execution
• Logging
• Credentials/security
• Workflow organization
• What is n8n?
• n8n vs Zapier vs Make
• Cloud vs self-hosted n8n
• Workflows
• Nodes
• Triggers
• Credentials
• Expressions
• Data mapping
• JSON
• IF nodes
• Switch nodes
• Merge
• Looping
• HTTP Request
Advanced n8n
• Webhooks
• APIs
• HTTP requests
• JSON manipulation
• Expressions
• JavaScript basics
• Data transformation
• Error handling
• Retry logic
• Workflow execution
• Logging
• Credentials/security
• Workflow organization
6 Airtable, Databases, APIs & Webhooks
Airtable as an Automation Database
• What is Airtable?
• Tables
• Records
• Fields
• Views
• Forms
• Linked records
• Relationships
• Interfaces
• Automations
• Airtable vs Google Sheets
• Designing an automation database
• Data validation
APIs, Webhooks & Integrations
• What is an API?
• REST APIs
• GET
• POST
• PUT
• DELETE
• API keys
• Authentication
• Headers
• JSON
• Webhooks
• Webhook triggers
• API testing
• Postman
• Connecting APIs to Make/n8n/Zapier
• What is Airtable?
• Tables
• Records
• Fields
• Views
• Forms
• Linked records
• Relationships
• Interfaces
• Automations
• Airtable vs Google Sheets
• Designing an automation database
• Data validation
APIs, Webhooks & Integrations
• What is an API?
• REST APIs
• GET
• POST
• PUT
• DELETE
• API keys
• Authentication
• Headers
• JSON
• Webhooks
• Webhook triggers
• API testing
• Postman
• Connecting APIs to Make/n8n/Zapier
7 AI-Powered Automation
Connecting AI to Automation
• Connecting LLMs to workflows
• OpenAI
• Claude
• Gemini
• AI modules
• AI APIs
• Prompt variables
• Dynamic prompts
• Structured responses
• JSON outputs
• AI classification
• AI extraction
• AI summarization
• AI content generation
Intelligent Document & Data Automation
• PDF processing
• Email processing
• Document extraction
• OCR concepts
• Information extraction
• Classification
• Summarization
• Sentiment analysis
• Entity extraction
• Data validation
• Human approval
• AI-generated reports
• Connecting LLMs to workflows
• OpenAI
• Claude
• Gemini
• AI modules
• AI APIs
• Prompt variables
• Dynamic prompts
• Structured responses
• JSON outputs
• AI classification
• AI extraction
• AI summarization
• AI content generation
Intelligent Document & Data Automation
• PDF processing
• Email processing
• Document extraction
• OCR concepts
• Information extraction
• Classification
• Summarization
• Sentiment analysis
• Entity extraction
• Data validation
• Human approval
• AI-generated reports
8 Chatbots & Conversational AI
Chatbot Fundamentals
• What is a chatbot?
• Rule-based chatbot
• AI chatbot
• Generative AI chatbot
• Conversational AI
• Chatbot architecture
• Intent
• Entities
• Context
• Conversation history
• System prompts
• Knowledge sources
• FAQs
• Escalation to humans
Build a Conversational AI Assistant
• AI chatbot architecture
• Knowledge base
• System instructions
• Conversation memory
• Retrieval concepts
• FAQ automation
• Lead qualification
• Customer support
• Human handoff
• WhatsApp/chat integrations
• Website chatbot concepts
• What is a chatbot?
• Rule-based chatbot
• AI chatbot
• Generative AI chatbot
• Conversational AI
• Chatbot architecture
• Intent
• Entities
• Context
• Conversation history
• System prompts
• Knowledge sources
• FAQs
• Escalation to humans
Build a Conversational AI Assistant
• AI chatbot architecture
• Knowledge base
• System instructions
• Conversation memory
• Retrieval concepts
• FAQ automation
• Lead qualification
• Customer support
• Human handoff
• WhatsApp/chat integrations
• Website chatbot concepts
9 AI Agents & Agentic AI
Understanding AI Agents
• What is an AI agent?
• AI assistant vs chatbot vs agent
• Automation vs AI automation vs agentic automation
• Agent architecture
• LLM
• Instructions
• Tools
• Knowledge
• Memory
• Goals
• Planning
• Reasoning
• Tool calling
• Decision-making
• Autonomous actions
Build Your First AI Agent
• Agent instructions
• Agent goals
• Tool selection
• Connecting tools
• Agent knowledge
• Agent memory
• Guardrails
• Human approval
• Testing agents
• Preventing unwanted actions
• Monitoring agent activity
• What is an AI agent?
• AI assistant vs chatbot vs agent
• Automation vs AI automation vs agentic automation
• Agent architecture
• LLM
• Instructions
• Tools
• Knowledge
• Memory
• Goals
• Planning
• Reasoning
• Tool calling
• Decision-making
• Autonomous actions
Build Your First AI Agent
• Agent instructions
• Agent goals
• Tool selection
• Connecting tools
• Agent knowledge
• Agent memory
• Guardrails
• Human approval
• Testing agents
• Preventing unwanted actions
• Monitoring agent activity
10 Advanced Agents, Context Engineering & MCP
Context Engineering & Reliable Agents
• What is context engineering?
• Context vs prompt
• Giving agents the right information
• Knowledge management
• Memory
• Tool descriptions
• Tool selection
• Agent boundaries
• Guardrails
• Reliable outputs
• Reducing hallucinations
• Testing edge cases
• Evaluation
• Cost optimization
• Latency optimization
MCP & Multi-Tool Agent Systems
• What is MCP?
• Model Context Protocol
• MCP clients
• MCP servers
• Tools
• Resources
• Connecting agents to external systems
• Agent tool calling
• Multi-tool agents
• Agent workflows
• Human-in-the-loop architecture
• Security considerations
• What is context engineering?
• Context vs prompt
• Giving agents the right information
• Knowledge management
• Memory
• Tool descriptions
• Tool selection
• Agent boundaries
• Guardrails
• Reliable outputs
• Reducing hallucinations
• Testing edge cases
• Evaluation
• Cost optimization
• Latency optimization
MCP & Multi-Tool Agent Systems
• What is MCP?
• Model Context Protocol
• MCP clients
• MCP servers
• Tools
• Resources
• Connecting agents to external systems
• Agent tool calling
• Multi-tool agents
• Agent workflows
• Human-in-the-loop architecture
• Security considerations
11 Vibe Coding & AI App Development
Introduction to Vibe Coding
• What is vibe coding?
• AI-assisted software development
• No-code vs vibe coding
• Low-code vs vibe coding
• Prompt-driven development
• Product requirements
• User stories
• Wireframes
• Application architecture
• Frontend
• Backend
• Database
• APIs
• Authentication
• Deployment
Tools Introduced
- Lovable
- Replit
- Cursor
- Claude Code
- Bolt
- v0
Build an AI-Powered Application
• Prompting an AI coding agent
• Plan mode
• Generating UI
• Building database functionality
• Authentication
• CRUD operations
• API integration
• AI features
• Debugging AI-generated code
• Testing
• GitHub
• Deployment
• Security basics
• What is vibe coding?
• AI-assisted software development
• No-code vs vibe coding
• Low-code vs vibe coding
• Prompt-driven development
• Product requirements
• User stories
• Wireframes
• Application architecture
• Frontend
• Backend
• Database
• APIs
• Authentication
• Deployment
Tools Introduced
- Lovable
- Replit
- Cursor
- Claude Code
- Bolt
- v0
Build an AI-Powered Application
• Prompting an AI coding agent
• Plan mode
• Generating UI
• Building database functionality
• Authentication
• CRUD operations
• API integration
• AI features
• Debugging AI-generated code
• Testing
• GitHub
• Deployment
• Security basics
12 CAPSTONE PROJECT
Deployment & AI Automation Business
Salary trend
Entry level₦250k–₦450k/mo or above
Mid level₦500k–₦900k/mo or above
Senior level₦1.2M+/mo or above
Estimated Nigerian market ranges; varies by role, company, and experience.
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