AI IN MARKETING Build No-Code AI Chatbots + Automation + Predictive Marketing Systems
Stop watching AI tutorials. Start building marketing systems that actually run. In this program, you will build: a live no-code AI chatbot (Website / WhatsApp / Instagram), an end-to-end marketing automation flow (Lead → Nurture → CRM), predictive insights (Churn / Segments / LTV) and a forecasting + planning model for budgets and growth.
Rule of the course: Every module ends with a working output you can deploy or show in your portfolio.
What Makes This AI in Marketing Course Different
Most AI marketing courses teach prompts, tools and generic examples. This course teaches real execution used by growth teams — with guardrails (brand safety + human approvals).
- Real marketing problem
- Manual approach (what teams do today)
- Where time is wasted / leaks happen
- AI-assisted execution
- Guardrails (brand safety + approvals)
- Deliverable produced
- No-code AI chatbot (Website / WhatsApp / Instagram)
- Lead → nurture → CRM automation flow
- Predictive insights (Churn / Segments / LTV)
- Forecasting + planning model (Budgets + Growth)
Who This AI in Marketing Course Is For
Built for Students, Working Professionals, and Founders/CMOs — with layered depth.
BBA/BCom/MBA students, freshers, early-career.
- Chatbot + Automation + Portfolio projects recruiters understand
Performance, SEO, content, CRM, marketing ops, growth teams.
- Automation + Dashboards + Predictive insights to drive decisions
Teams scaling acquisition + retention.
- Forecasting + Planning systems + AI operating model
AI in Marketing Curriculum (Industry-Aligned, Execution-First)
Each module ends with a working output you can deploy or show in your portfolio.
Module 1: AI in Marketing — Use Cases That Matter
You build: AI Marketing Use-Case Map- Where AI fits in the funnel: acquisition → conversion → retention
- What should be automated vs kept human
- How to avoid “AI noise” and focus on ROI
- AI Marketing Use-Case Map (for a real brand)
- What to automate vs assist vs NOT use AI for (brand risk)
Module 2: Automation — Workflows & No-Code Chatbots
Core module- Live AI chatbot (no code): Website / WhatsApp / Instagram / Support/FAQ
- Qualification logic (intent + questions)
- Context handling
- Human handoff + escalation
- Lead tagging + routing
- Complete automation flow: Lead capture → qualification → CRM update
- Nurture sequence (Email/WhatsApp)
- Abandoned lead follow-up / funnel drop-off recovery
- Triggers, conditions, branching logic
- Fail-safe rules, approvals, measurement events
Module 3: Predictive Analytics — Churn, Segments, LTV
You build: Predictive Insights Dashboard- Churn probability and retention signals
- Segment discovery (high value vs low intent)
- LTV estimation logic and cohort thinking
- Turning predictions into campaigns
- Predictive Insights Dashboard with actions
- At-risk customers list
- High-LTV segments
- Recommended retention and upsell actions
Module 4: Planning — Forecasting & Modelling
Senior-level (CMOs & Founders)- AI-assisted forecasting (leads, revenue, CAC trends)
- Budget planning and scenario modeling
- Channel saturation & diminishing returns thinking
- Best/Base/Worst-case decision frameworks
- Marketing Forecast & Planning Model (AI-assisted)
- Scenario decision framework for budget allocation
Capstone Projects (Mandatory, Portfolio-Ready)
Complete at least one capstone build (you can do more).
- No-code AI chatbot (deployed)
- End-to-end automation flow (working)
- Predictive insights dashboard (Churn / Segments / LTV)
- Forecasting & planning model (scenario-based)
- AI-aware marketer
- Automation-first executor
- Growth operator who uses AI responsibly (brand-safe, measurable)
Why This AI in Marketing Course at Amquest Education
Most AI courses are built by people who know tools but not marketing realities — or know marketing but not AI execution systems. This course is built to be practical, deployable, measurable with automation, analytics and decision-making at the core.
- Lead qualification + routing + CRM updates
- Nurture sequences (Email/WhatsApp)
- Retention signals + churn actions
- Forecasting and budget scenario decisions
- Guardrails for brand safety
- Human approvals for critical steps
- Measurement events for accountability
- Systems that run — not demos
Typical AI Marketing Course vs AI in Marketing (Amquest)
This program is built around how growth teams actually work.
| Aspect | Typical AI Marketing Course | AI in Marketing (Amquest) |
|---|---|---|
| Focus | Tools + prompts | Systems + execution |
| Learning style | Theory + demos | Hands-on builds |
| Chatbots | Mentioned | Built (no-code, live) |
| Automation | Not end-to-end | Complete flows built |
| Predictive analytics | Over-technical or skipped | Actionable churn/LTV/segments |
| Planning | Rare | Forecasting + scenario modeling |
| Outputs | Certificate | Deployable portfolio work |
| Outcome | AI-aware marketer | Automation-first growth operator |
Frequently Asked Questions (AI in Marketing)
Answers to the most common questions about the course, format and outcomes.
1. What is the AI in Marketing course about?
The AI in Marketing course focuses on practical, hands-on use of AI in real marketing workflows. Participants build no-code AI chatbots, automated marketing flows, predictive analytics for churn and LTV, and AI-assisted forecasting models used by modern growth teams. This is not a theory or tool-demo course — it is an execution-first program.
2. Is this course practical or theory-based?
This course is fully practical. Every module ends with a working output, such as:
- A live no-code chatbot
- An automated lead-to-conversion marketing flow
- A predictive churn and LTV dashboard
- A marketing forecast and planning model
Theory is included only where it supports execution.
3. Who should enroll in the AI in Marketing course?
This course is designed for:
- Students and freshers who want job-ready marketing skills
- Working marketing professionals in performance, SEO, CRM, content, and growth roles
- Founders, CMOs, and growth heads who want data-driven planning and automation
The same curriculum is taught with layered depth, making it relevant for all three groups.
4. Do I need coding or data science knowledge to join this course?
No. This course is built for marketers, not engineers. You will work with no-code chatbot platforms, automation tools, and AI-assisted analytics and dashboards. Coding and advanced ML are not required.
5. Does the course include no-code chatbot creation?
Yes. No-code chatbot creation is a core, mandatory module. Participants build and deploy a chatbot for website lead qualification, WhatsApp or Instagram enquiries, and customer support/FAQs. You will design conversation logic, qualification rules, and human handoff/escalation.
6. Does the course cover marketing automation workflows?
Yes. You will build end-to-end automated marketing flows such as lead capture → qualification → CRM update, email/WhatsApp nurturing sequences, abandoned lead follow-ups, and funnel drop-off recovery. This mirrors how real marketing operations teams work.
7. What marketing analytics and predictive AI topics are covered?
The course covers churn prediction logic, customer segmentation, LTV estimation, and turning predictions into marketing actions. The focus is on decision-making, not complex mathematics.
8. Does the course include forecasting and marketing planning?
Yes. Participants work on AI-assisted demand and lead forecasting, budget planning and scenario modelling, and best/base/worst-case growth planning. This module is especially valuable for founders, CMOs, and senior marketers.
9. Will this course help with placements or career growth?
Yes — because it focuses on real execution. Students graduate with deployable chatbot and automation projects, analytics and planning work they can show in interviews. Professionals gain automation skills, predictive decision frameworks, and strong marketing analytics thinking.
10. What capstone projects are included in the course?
Capstone projects are mandatory. You will complete at least one of the following:
- A live no-code AI chatbot
- A complete automated marketing workflow
- A predictive analytics dashboard (churn, segments, LTV)
- A marketing forecast and planning model
These are portfolio-ready, real-world builds.
11. Is this course suitable for founders and CMOs?
Yes. The course includes modules on predictive planning, scenario modelling, automation strategy, and AI-ready marketing operating models. Senior leaders participate at a strategic and decision-making level, without technical overload.
12. How is this different from other AI marketing courses?
Most AI marketing courses focus on tools, prompts, and generic examples. This course focuses on building systems — automation + analytics + predictive and planning decisions — based on real marketing execution.
13. What certification do participants receive?
Participants receive a Certificate in AI in Marketing – Practical & Applied Execution. The real value lies in the systems and projects you build, not just the certificate.
14. Is the course classroom-based or online?
The course is offered in classroom format and live online format. Both formats are interactive and execution-driven, not passive recordings.
15. Is this course suitable for beginners in marketing?
Yes. The course starts with use-cases and system thinking, making it suitable for beginners while still going deep enough for experienced professionals.