Scaling Marketing with AI Agents
Scaling Marketing with AI Agents is a practical, industry-focused course by BIIT Technology designed for students, digital marketers, business owners, entrepreneurs, freelancers, and working professionals who want to understand how AI agents can improve and automate modern marketing workflows.
The course focuses on using AI agents for marketing research, content planning, lead generation, customer communication, campaign management, social media, email marketing, analytics, and workflow automation. Learners will understand how to design AI-assisted marketing systems while keeping human supervision, brand voice, data privacy, and quality control at the centre.
Course Overview
Digital marketing involves many repetitive activities such as researching audiences, creating content, responding to enquiries, managing leads, analysing campaigns, and preparing reports. AI agents can assist with many of these activities by connecting AI capabilities with marketing workflows and business tools.
In this course, students learn how AI agents work and how they can be applied to real marketing tasks. Instead of using AI only for generating individual pieces of content, learners explore how multiple AI-powered workflows can work together to support an end-to-end marketing process.
The course combines AI, digital marketing, automation, prompt engineering, workflow design, analytics, and practical projects.
What You Will Learn
By completing this course, students will learn:
- Fundamentals of AI agents
- Difference between AI tools and AI agents
- Role of AI agents in digital marketing
- Marketing automation fundamentals
- AI-powered market research
- Customer and audience research
- AI content planning
- AI-assisted SEO
- Social media automation
- Email marketing automation
- Lead generation workflows
- Lead qualification
- Customer engagement
- Marketing campaign management
- AI-powered analytics
- Marketing reporting
- Prompt engineering
- Workflow automation
- Human-in-the-loop marketing
- AI ethics and responsible marketing
- Building practical AI marketing workflows
Course Modules
Module 1: Introduction to AI in Marketing
- What is Artificial Intelligence?
- What is Generative AI?
- Evolution of AI in digital marketing
- AI applications in marketing
- Benefits of AI-assisted marketing
- Limitations of AI marketing
- Human creativity vs AI assistance
- Understanding AI-powered workflows
- Examples of AI marketing use cases
Module 2: Understanding AI Agents
Students will understand the fundamentals of AI agents.
Topics Covered
- What is an AI agent?
- How AI agents differ from traditional AI tools
- AI agents and automation
- Agent instructions and goals
- Tools and data sources
- Context and memory concepts
- Decision-making workflows
- Multi-step AI tasks
- Human approval workflows
- Single-agent and multi-agent systems
Module 3: AI Marketing Strategy
Before automating marketing activities, students learn how to develop a clear marketing strategy.
Topics include:
- Defining marketing objectives
- Identifying target audiences
- Customer personas
- Customer journey
- Marketing funnel
- Awareness
- Consideration
- Conversion
- Retention
- Customer pain points
- Value propositions
- Campaign planning
- Marketing KPIs
Students learn how AI agents can support different stages of the marketing funnel.
Module 4: AI-Powered Market Research
AI agents can assist marketers with research and information organisation.
Topics include:
- Market research fundamentals
- Competitor research
- Audience research
- Customer questions
- Search intent
- Industry trends
- Product research
- Content gap identification
- Organising research data
- Creating research summaries
- Human verification of AI-generated research
Students learn how to create structured research workflows rather than relying on unverified AI outputs.
Module 5: Customer Persona & Audience Analysis
Understanding customers is essential for effective marketing.
Students learn:
- Creating customer personas
- Audience segmentation
- Demographic information
- Customer interests
- Customer pain points
- Buying behaviour
- Customer intent
- Creating audience profiles
- AI-assisted customer research
- Personalised marketing concepts
Module 6: Prompt Engineering for Marketing
Prompt engineering helps marketers communicate clearly with AI systems.
Topics include:
- What is prompt engineering?
- Basic prompt structure
- Role-based prompting
- Context
- Objectives
- Constraints
- Output formats
- Examples and few-shot prompting
- Prompt templates
- Marketing prompts
- Improving poor AI responses
- Building reusable prompts
Module 7: AI Agents for Content Marketing
Students learn how AI can support the content creation process.
Topics include:
- Content strategy
- Topic research
- Content calendars
- Blog ideas
- Content briefs
- Social media ideas
- Email content
- Video content ideas
- Content repurposing
- Content optimisation
- Editorial workflows
- Content review and approval
Module 8: AI Agents for SEO
Students learn how AI can support SEO workflows.
Topics include:
- Keyword research concepts
- Search intent
- Keyword clustering
- Content planning
- Topic clusters
- Content briefs
- On-page SEO
- Meta title generation
- Meta description generation
- Internal linking ideas
- SEO content optimisation
- Competitor content analysis
- SEO reporting
Students also learn why AI-generated SEO recommendations should be checked against reliable data and current search requirements.
Module 9: AI Agents for Social Media Marketing
Learn how AI can assist social media teams.
Topics include:
- Social media strategy
- Content calendar creation
- Caption ideas
- Hashtag research concepts
- Creative ideas
- Platform-specific content
- Content repurposing
- Engagement workflows
- Social media reporting
- Campaign planning
- Brand voice consistency
Module 10: AI Agents for Lead Generation
Lead generation is an important marketing application of AI automation.
Students learn:
- Lead generation fundamentals
- Lead capture
- Lead sources
- Lead qualification
- Lead segmentation
- Lead scoring concepts
- Follow-up workflows
- CRM integration concepts
- AI-assisted lead communication
- Lead nurturing
Module 11: AI-Powered Email Marketing
Topics include:
- Email marketing fundamentals
- Email campaign planning
- Subject line generation
- Email copywriting
- Audience segmentation
- Personalisation
- Lead nurturing
- Follow-up sequences
- Newsletter workflows
- Campaign analysis
- Email performance reporting
Students learn how AI can assist with email creation while avoiding unnecessary or misleading automated communication.
Module 12: AI Agents for Customer Engagement
AI can support customer communication across different channels.
Topics include:
- Customer support workflows
- Frequently asked questions
- Chatbot concepts
- AI assistants
- Personalised responses
- Lead enquiry handling
- Customer segmentation
- Escalation to human teams
- Conversation quality control
- Customer feedback analysis
Students learn the importance of giving customers an option to reach a human when automated assistance is insufficient.
Module 13: Marketing Automation
Students explore how different marketing activities can be connected.
Topics include:
- What is marketing automation?
- Trigger-based workflows
- Action-based workflows
- Conditional workflows
- Data movement
- Notifications
- Lead management
- Campaign workflows
- CRM workflows
- Reporting automation
- Workflow testing
Module 14: AI Agents for Campaign Management
Students learn how AI can assist marketers throughout a campaign lifecycle.
Campaign Workflow
Research → Strategy → Content → Creative → Launch → Monitoring → Analysis → Optimisation
Topics include:
- Campaign planning
- Campaign objectives
- Audience targeting concepts
- Creative variations
- Ad copy ideas
- Campaign monitoring
- Performance analysis
- Budget tracking concepts
- Campaign reporting
- Optimisation suggestions
Final campaign decisions remain with the responsible marketing team.
Module 15: AI for Paid Advertising
Topics include:
- Introduction to PPC
- Search advertising
- Social media advertising
- AI-assisted ad copy
- Creative variations
- Audience research
- Campaign structure
- Landing page concepts
- Performance analysis
- A/B testing concepts
- AI-assisted reporting
Students learn how AI can support advertising workflows without treating generated recommendations as automatically correct.
Module 16: AI-Powered Marketing Analytics
Data is an important part of scalable marketing.
Students learn:
- Marketing KPIs
- Website traffic
- Leads
- Conversion rate
- Cost per lead
- Customer acquisition cost
- Engagement rate
- Click-through rate
- Email performance
- Campaign performance
- Data interpretation
- AI-assisted reporting
Module 17: AI Agents for Marketing Reports
Students learn how to automate repetitive reporting activities.
Topics include:
- Weekly reports
- Monthly reports
- Campaign summaries
- KPI dashboards
- Performance comparisons
- Automated insights
- Client reports
- Management reports
- Report templates
- Data validation
AI-generated reports should always be reviewed for numerical accuracy before being shared.
Module 19: AI Tools & Automation Platforms
Students explore different categories of tools used in AI-assisted marketing.
Depending on current availability and course requirements, these may include:
- Generative AI platforms
- AI writing assistants
- AI research tools
- AI design platforms
- CRM platforms
- Marketing automation platforms
- Workflow automation platforms
- Analytics platforms
- Spreadsheet and database tools
- Chatbot platforms
Tools can change quickly, so the course focuses on transferable concepts rather than dependence on a single platform.
Tools & Technologies
Students may work with different categories of AI and marketing tools, including:
- Generative AI assistants
- AI research tools
- AI content tools
- AI design tools
- CRM platforms
- Email marketing platforms
- Marketing automation platforms
- Workflow automation tools
- SEO tools
- Analytics platforms
- Social media management tools
- Spreadsheet and reporting tools
The specific tools can be updated as the AI marketing ecosystem evolves.
Who Should Join This Course?
This course is suitable for:
- Digital marketing students
- Marketing professionals
- Business owners
- Entrepreneurs
- Freelancers
- Social media managers
- SEO professionals
- Content marketers
- Email marketers
- Sales and marketing teams
- Working professionals
- Students interested in AI
- Beginners exploring AI-powered marketing
No advanced programming knowledge is required for the core course.
Career Opportunities
After completing the course, learners can explore roles such as:
- Digital Marketing Executive
- AI Marketing Specialist
- Marketing Automation Executive
- Digital Marketing Analyst
- SEO Executive
- Social Media Marketing Executive
- Content Marketing Executive
- Marketing Automation Specialist
- AI Content Specialist
- CRM Marketing Executive
- Performance Marketing Executive
- Freelance AI Marketing Consultant
Job responsibilities and requirements vary depending on the employer and level of experience.
Start Your AI Marketing Journey with BIIT Technology
Marketing is moving from isolated AI tools toward connected, intelligent workflows. Learning how to design and manage these workflows can help professionals understand the practical role of AI in modern marketing.
BIIT Technology’s Scaling Marketing with AI Agents course provides practical exposure to AI-assisted marketing, automation, customer engagement, content workflows, lead management, and analytics.
Learn AI. Build marketing workflows. Automate repetitive tasks. Keep human strategy at the centre.
Book A Live Class to Know More
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