Lovely Professional University (LPU) × CIAM Strategic Partnership for AI‑Driven Education Excellence
Transforming LPU into India's Most AI‑Ready University
Canadian Institute of Artificial Intelligence & Management (CIAM)
Education • Innovation • Technology
Why AI, Why Now
Finance evolved fast; education must too
AI is changing every industry—because the "rails" of work are changing.
1
Barter
Direct exchange
2
Commodity money
Grain/salt/cattle as value
3
Metal coins
Standardized currency
4
Paper notes
Portable value
5
Banking instruments
Ledgers, bills, cheques
6
Cards
Credit/debit
7
Electronic transfers + ATMs
8
Internet banking
9
Mobile payments
Mass adoption
10
Cryptocurrency + blockchain
Programmable, borderless value
11
DeFi
Financial services via code; still evolving
The point:
  • Finance kept upgrading its system to match reality.
  • Mainstream education still largely runs on older outcome models—while the job market is upgrading.
Real signals from industry:
  • AI‑skilled candidates are earning major wage premiums.
  • Top‑tier AI talent is being paid at levels usually reserved for elite executives.
  • Investors reward companies that execute AI well—AI leaders have seen massive valuation growth.
What this partnership changes:
  • We move from theory-heavy learning to AI‑enabled, output‑driven learning.
  • Students graduate "job‑ready + business‑ready" for marketing roles.
LEADERSHIP TEAM
Experienced Leaders in AI Education & Technology
Mr. Gautam Prakashchandra Jain
Founder - Umirai.ai | Director - CIAM
  • 20+ years in business, AI, and training
  • UN & UNESCO speaker on AI and education
  • Bestselling author and thought leader
  • Expert in curriculum design and educational transformation
Mr. Darsh Singh
Founder & CEO - Optume.ai | Director - CIAM
  • AI scientist and marketing technologist
  • 15+ years industry experience (Oracle & Bell)
  • Product architect and behavioral AI expert
  • Specialization in AI application development
Mr. Deepak Prakashchandra Jain
Co-Founder - UMIRAI.ai
  • AI expert with 12+ years experience
  • Technology and business consulting leader
  • Focus on simplifying AI for non-technical users
  • Platform development and innovation strategist
Advisory & Support Team:
  • Academic curriculum designers
  • Industry subject matter experts
  • Technology development team
  • Research and innovation consultants
Partnership Vision
Transforming Higher Education Through AI Integration
A strategic collaboration between LPU and CIAM to build India's most comprehensive AI‑enabled educational ecosystem.
Mission
  • Empower students and faculty with practical AI capabilities
  • Strengthen institutional excellence through technology‑driven innovation
Vision
  • Position LPU as a national leader in AI education, research, and innovation
  • Align with India's educational frameworks and Industry 4.0 requirements
Graduate outcome focus (Marketing Track)
  • Students become employable in marketing agencies and in-house marketing teams
  • Students can also launch a service business with real skills + portfolio proof
What This Partnership Delivers (Outcome-first)
This partnership is designed to deliver measurable outcomes, not just content.
Key outcomes
1
AI literacy for every student
Foundation capability
2
Specialization tracks
Aligned with UG curriculum + industry job roles
3
Portfolio outputs
Created during training (proof-of-work)
4
Capstone presentations
With industry-style evaluation
5
Tool ecosystem access
Continuous updates (where included)

Marketing track outcome
Students can plan, build, launch, measure, and improve campaigns using AI safely and responsibly.
About CIAM
Canadian Institute of Artificial Intelligence & Management (CIAM)
CIAM specializes in:
  • AI‑driven curriculum development
  • Practical, hands‑on skill training
  • Industry‑aligned educational programs
  • Research and innovation enablement
CIAM's ecosystem
Education Arm: CIAM
  • Academic program design and delivery
  • Faculty development and research support
  • Curriculum consulting and certification programs
Technology subsidiaries
  • UMIRAI.ai — AI‑powered marketing and business applications
  • Optume.ai — AI solutions for marketing and business applications
  • AppDaddy.ai — custom AI application development platform
CIAM Technology Subsidiaries
Ready‑to‑Deploy & Custom Development Solutions
01
  • Ready from Day 1: pre‑built AI applications for marketing, business, and research
  • Organic marketing tools: content creation, social automation, SEO/AEO support
  • Paid marketing tools: campaign workflows, analytics, creative optimization
  • Business intelligence: dashboards, reporting, analytics tools
  • Research support: literature review, citation management, data analysis
02
AppDaddy.ai (Custom Application Development Platform)
  • Curriculum‑specific apps tailored to LPU's departmental needs
  • Subject‑specific tools: Engineering, Pharmacy, MBA, Sciences, Humanities, Commerce
  • No‑code development: enables faculty and students to build custom apps
  • Rapid deployment aligned to curriculum requirements
Benefits
Immediate access to 50+ pre‑built AI applications
Custom tools designed for specific subjects and departments
Continuous platform evolution and updates
Seamless integration with academic workflows
Student Innovation Showcase
Over 13,500 Apps Created by Our Students
App Output Showcase
Real Results from Student-Built Applications with minimal inputs
App Output Showcase
Real Results from Student-Built Applications with minimal inputs
Educational Framework Alignment
Fully Compliant with National & International Standards
Aligned with:
1
NEP 2020 (National Education Policy)
  • Skill‑based, outcome‑driven learning
  • Interdisciplinary and multidisciplinary approach
  • Integration of vocational education
  • Technology‑enabled learning
  • Project‑based and experiential education
  • Critical thinking and problem‑solving focus
2
NAAC & IQAC Standards
  • Enhanced teaching‑learning processes
  • Research and innovation culture
  • Infrastructure and learning resources
  • Student support and progression
  • Quality improvement initiatives
3
NIRF Focus Areas
  • Teaching, Learning & Resources (TLR)
  • Research and Professional Practice (RP)
  • Graduation Outcomes (GO)
  • Outreach and Inclusivity (OI)
  • Perception metrics
4
Industry 4.0 Requirements
  • AI and machine learning capabilities
  • Data analytics and visualization
  • Automation and digital transformation
  • Cross‑functional technology skills
  • Innovation and entrepreneurship mindset
Partnership Objectives
Five Core Pillars of Collaboration
Practical AI Skill Development
  • Hands‑on, output‑driven training programs
  • Department‑specific AI literacy modules
  • Real portfolio creation during training
  • Application‑based learning approach
Faculty & Research Enablement
  • AI‑powered research assistance tools
  • Publication support and guidance
  • Literature review and data analysis
  • Research productivity enhancement
AI Application Ecosystem
  • Curriculum‑specific applications
  • Continuous platform updates
AI Centre of Excellence (AI‑COE)
  • On‑campus innovation hub
  • Research and innovation labs
  • Student project incubation
  • Annual AI calendar and events
Academic Program Collaboration
  • Certificate programs
  • Diploma programs
  • Degree program enhancement
  • Curriculum co‑development
Pillar 1: Practical AI Skill Development
Hands‑On, Output‑Driven Learning
Training approach
  • Offline, instructor‑led sessions (hands-on lab style)
  • Real portfolio outputs created during training
  • Department‑specific tracks aligned with curriculum
Program structure
1
6‑hour Core AI Literacy Module
(all students)
2
Specialization tracks
(department‑specific)
3
Capstone project presentations
4
Portfolio development
Sample outputs by department (examples)
MBA
Marketing: AI‑assisted campaign plans, content systems, brand assets, analytics dashboards
Finance: dashboards, MIS reports, predictive models
HR: recruitment automation, employee analytics, policy documents
Engineering
Technical documentation, data visualization projects, prototype apps/websites, research reports
Pharmacy
Drug info databases, literature reviews, case study analysis, pharma marketing materials
Commerce
BI dashboards, financial reports, market research, e‑commerce strategies
Sciences & Humanities
Research papers and presentations, data analysis/visualization, academic writing enhancement
UG Digital Marketing Curriculum Alignment (LPU) + AI Layer
This program enhances (does not replace) LPU's UG Digital Marketing curriculum.
Covered UG courses (AI‑enhanced)
MKT323
Foundation of Digital Marketing
MKT324
Social Media Marketing
MKT325
SEO and Online Advertising
MKT326
Web Design and Analytics
How the AI layer fits
  • AI used to improve research, planning, creation, testing, measurement, and automation
  • Students learn to verify outputs, prevent hallucinations, protect privacy, and maintain integrity
  • Every unit produces a portfolio artifact (not just notes)
MKT323: Foundation of Digital Marketing (AI‑Enhanced)
Course outcomes (what students can do)
  • Build a complete digital marketing strategy using practical digital skills
  • Build a content marketing plan integrating search + social for brand promotion
  • Apply measurement to evaluate marketing efforts across platforms
  • Evaluate strategies and improve performance using data
Unit coverage + AI upgrades
Unit I: Introduction & digital landscape
Digital evolution, digital vs traditional, career paths, business models, marketplace factors
AI upgrade: AI‑assisted market research and competitor mapping (with validation)
Unit II: Inbound marketing
Funnel thinking: attract → convert → optimize
AI & automation in marketing
Landing page optimization and conversion patterns
Unit III: Content marketing concepts and strategy
Content intent, community management, strategy, competitor analysis, content audit, case studies
AI upgrade: brand voice system + content QA checklist
Unit IV: SEO + PPC foundations + privacy-first marketing
SERPs, keyword research, on‑page/off‑page, PPC basics, Google ads overview
Paid vs organic media
Privacy‑first marketing fundamentals
Landing page features for SEO vs SEM
AI upgrade: AEO basics (how AI search changes content structure)
Unit V: Social platforms
Social media marketing, short‑form video dominance, buyer journey, video/mobile marketing
Unit VI: Analytics
Web analytics basics, Google Analytics, UA vs GA4, other tools, decision-making frameworks
Portfolio outputs (examples)
Strategy deck + funnel map + content plan + KPI plan + GA4 reporting template
MKT324: Social Media Marketing (AI‑Enhanced)
Course outcomes (what students can do)
  • Apply social media marketing theories to interact with customers
  • Develop and justify a social media campaign for products/services
  • Formulate strategies to promote brands
  • Use tools to measure and optimize social platform performance
Unit coverage + AI upgrades
Unit I: SMM overview
Platforms, uses, SDGs, and use of AI in social media marketing
Unit II: SMM strategy
Goals, audience, competition, social audit
Profile setup and optimization
Content calendars, content creation, tracking and adjustments
AI upgrade: content pipeline (idea → script → edit → publish → analyze)
Unit III: Campaigns
Campaign definition and stages; execution planning
Unit IV: Facebook marketing
Organizations, product promotion, brand building, relationship building
Unit V: YouTube marketing
Monetization, branding, keyword research, community tab, YouTube Shorts
Unit VI: LinkedIn marketing
Business account, professional profile, company page optimization, roles, followers vs connections
Social media for SDG goals
Portfolio outputs (examples)
30‑day content calendar + 1 campaign plan + platform playbook + performance report
MKT325: SEO and Online Advertising (AI‑Enhanced)
Course outcomes (what students can do)
  • Apply technical SEO (Core Web Vitals, schema markup, site structure) for visibility
  • Evaluate keyword research, on‑page/off‑page, and content planning effectiveness
  • Build paid campaigns (PPC, display, video, social) with strong structure
  • Optimize targeting and engagement via 360-degree campaign approaches
  • Evaluate performance using KPIs, conversion tracking, analytics, and reports
  • Build a complete SEO + paid search action plan
Unit coverage + AI upgrades
Unit I: Search engines and SEO
Evolution, functioning, ranking factors, keyword research, on‑page/off‑page, content SEO
AI upgrade: AEO + intent/entity-based content structures
Unit II: PPC and Display
PPC strategy, keyword research, search ads, ad copy, display ad design and execution
Unit III: Video and digital campaigns
Video ad strategy and execution
Digital campaign planning and evaluation
Meta/Facebook ads overview and best practices
YouTube marketing and monetization; channel setup, optimization, analytics
Unit IV: Measuring paid search
KPIs, conversion tracking, metrics, reports, advanced measurement
Unit V: Keywords and SEO content plan
Keyword types, research, turning research into content plan
Technical optimization, on‑page/off‑page, SEO action plan
Unit VI: Paid search fundamentals + AI-driven paid search
Paid vs organic search; Google Ads account structure; campaign creation
AI-driven paid search: smart campaigns and Performance Max concepts and governance
Portfolio outputs (examples)
SEO/AEO audit + keyword plan + Google Ads structure + measurement framework
MKT326: Web Design and Analytics (AI‑Enhanced)
Course outcomes (what students can do)
  • Apply web design principles to create responsive, user‑friendly interfaces
  • Design engaging content and gamified campaigns using AI tools + lead generation
  • Interpret metrics and improve campaign performance
  • Develop omni‑channel strategy using analytics insights
  • Evaluate usability and performance using UX/UI and behavior insights
Unit coverage + AI upgrades
Unit I: Online marketing foundation
Digital channels and foundations
Unit II: Website design and optimization
Layout, design components, optimization
Unit III: Content marketing + Email marketing + CRO + Gamification
Content plan and effectiveness measurement
AI tools for blog/articles, user-generated content
Email: lead nurturing, automation, conversions, audience management
Gamification techniques and gamified campaign creation
CRO metrics: micro/macro conversions, bounce rate, user path, lead magnets, CRO tools
Unit IV: SEO
"3‑dimensional" keyword data (volume/competition/intent)
Keyword implementation, link building, SEO measurement
Unit V: Web analytics
Goals setup, reports, performance metrics
Sessions/users, new vs returning, time on page, load time, organic vs paid sessions
Unit VI: User-centric design + AI behavior analysis
UX vs UI, principles, improvement, evaluation, monitoring and reporting
AI in behavior analysis: preferences, interaction insights, UX and performance improvements
Portfolio outputs (examples)
Landing page prototype + CRO roadmap + email nurture flow + analytics dashboard + UX report
Specialization Track: AI Marketing & Growth (Revenue Systems)
Learn how to turn AI into revenue—for a business, an agency, or your own venture.
What students master
  • AI market intelligence for niche selection and segmentation
  • Positioning, messaging, offer design, and pricing logic
  • Funnel building (lead gen, service, webinar, e‑commerce)
  • AI‑assisted copywriting for ads, emails, and landing pages (with quality control)
  • Conversion psychology and experimentation culture
  • WhatsApp, SMS, and email campaigns (segmentation and compliance basics)
  • Automation flows that capture, nurture, and convert leads
Track output
Complete growth plan + funnel + creative pack + messaging kit + automation blueprint
Specialization Track: AEO (AI Engine Optimization) + Modern SEO
Ranking in the AI search era while maintaining strong SEO fundamentals.
What students master
  • AI‑first content strategy (intent + entities + topical authority)
  • Structured content designed for AI answers (FAQ/Q&A formats, clarity, citation habits)
  • Technical SEO essentials: Core Web Vitals, indexing basics, internal linking
  • Schema markup basics for better visibility and richer results
  • Platform discoverability: Instagram, LinkedIn, YouTube optimization
  • Repurposing pipeline: blog → reel → carousel → newsletter
  • Tracking AI search shifts and adapting content strategy early
Track output
AEO/SEO audit + 30/60/90 action plan + content calendar + optimization checklist
Specialization Track: No‑Code AI Tools for Marketers
Build practical AI tools even without coding—tools that reduce cost and improve speed.
What students master
  • Prompt engineering patterns + evaluation methods (accuracy, quality, consistency)
  • Build no‑code AI mini‑apps: brief generator, repurposer, audit assistant, UTM builder
  • Install AI chatbots on websites and funnels (lead qualification + FAQs)
  • Build a personal marketing co‑pilot for daily workflows (research, drafts, reports)
  • Productize tools into client deliverables or micro‑products
Track output
1 no‑code AI app + 1 chatbot + demo + deployment checklist
Specialization Track: Automation + Agentic AI
Turn marketing skills into systems that businesses need.
What students master
  • Workflow mapping and automation (end-to-end)
  • Tool integration: forms/surveys + CRM + email/WhatsApp + calendars + reporting dashboards
  • Automation stacks for lead gen, onboarding, and fulfillment
  • Agentic AI fundamentals: memory, tool-use, goal-setting, multi-step execution
  • Multi-agent collaboration concepts for complex workflows
  • Safety guardrails: approvals, logs, monitoring, escalation, ethical boundaries
Track output
Automation blueprint + working demo workflow + governance checklist
Ethical AI + Privacy‑First Marketing
Build responsible AI systems and responsible marketing practices.
What students master
AI ethics
Fairness, transparency, accountability, explainability (XAI)
Bias detection and mitigation in models/data/outputs
Privacy-first marketing
Consent-first practices, minimal data use, secure handling
Awareness of global data protection and AI governance principles
Academic integrity
AI as assistance, not replacement; originality and citation discipline
Marketing integrity
No fabricated results, no deceptive content, no fake social proof
AI impact assessment
Risk identification and mitigation thinking
Track output
Ethical use policy + project checklist + review process for student work
Comprehensive AI-First Digital Marketing Program
Building job-ready graduates through innovative technology platforms and sustainable learning ecosystems
Pillar 3
AI Application Ecosystem
Comprehensive Technology Platform
UMIRAI.ai & Optume.ai (Ready from Day 1)
Marketing & Communication (50+ tools)
  • Content creation (blogs, social media, ads)
  • AEO and organic marketing optimization
  • Paid campaign workflows and analytics
  • Brand identity and design tools
  • Video and multimedia creation
Business & Analytics
  • Dashboard creation and reporting
  • Financial modeling and forecasting
  • Data visualization tools
  • Business intelligence suite
  • CRM and customer analytics
Research & Academic
  • Literature review automation
  • Citation and reference management
  • Data analysis and interpretation
  • Research proposal development
  • Academic writing enhancement
Productivity Suite
  • 5 TB AI cloud storage
  • CRM Express
  • AI forms and surveys
  • Document automation
  • Chatbot creation
AppDaddy.ai (Custom Development Platform)
Curriculum‑specific applications
Engineering, Pharmacy, MBA, Sciences, Commerce, and more
No‑code development
  • Faculty can design custom apps without programming
  • Students learn app creation as part of coursework
  • Rapid prototyping for projects and research
  • Department‑specific tool customization
Pillar 4
AI Centre of Excellence (AI‑COE)
Sustainable Innovation Ecosystem
Four functional labs
1
AI Skill Lab
  • Hands‑on training facility
  • Student AI literacy programs
  • Workshops and seminars
  • Certification training center
2
Research Lab
  • Faculty research support hub
  • Publication assistance services
  • Data analysis workstations
  • Collaborative research space
3
Innovation Lab
  • Project development zone
  • App building and prototyping
  • Cross-department innovation
  • Student-led initiatives
4
Entrepreneurship Lab
  • Startup incubation support
  • Business model development
  • Technology commercialization
  • Industry collaboration projects
Annual AI Calendar
1
Quarter 1 (Jul–Sep)
  • Core AI literacy rollout
  • Faculty orientation
  • Tool ecosystem onboarding
2
Quarter 2 (Oct–Dec)
  • Research submission cycles
  • Department workshops
  • Custom app development initiation
3
Quarter 3 (Jan–Mar)
  • Innovation challenges and hackathons
  • Interdisciplinary showcases
  • Student portfolio presentations
4
Quarter 4 (Apr–Jun)
  • Industry collaboration events
  • Research publication sprint
  • Annual AI summit and awards
Program Options
1 Month | 3 Months | Degree-Level
Option 1: 1‑Month Essential Bootcamp
  • AI literacy + AI-first digital marketing foundations
  • Mini-capstone + portfolio starter pack
  • Completion certificate + learning materials
  • AI tools/applications not included
Option 2: 3‑Month Professional Certificate (with Tools)
  • Full-stack AI-first digital marketing (SEO/AEO, paid ads, web/CRO, analytics)
  • Automation + no-code AI tools + portfolio reviews
  • Knowledge base + tool updates during the course period
Option 3: Degree-Level Program (1–2 Years, customizable)
  • Customized curriculum design aligned with LPU UG structure
  • Continuous curriculum updates (including minor updates)
  • Ongoing tool and platform enhancements
  • AI‑COE setup support
  • Faculty training and research enablement
  • Internship + capstone + portfolio defense for employability outcomes
Option 1: 1‑Month Essential Bootcamp
Module Plan
Week 1: AI Literacy + Digital Marketing Foundations
  • AI fundamentals for marketers; safe use; verification habits
  • Digital landscape and frameworks; buyer journey; funnel basics
  • ICP/personas and market research (AI-assisted, human-validated)
Week 2: Inbound + Content + Social Foundations
  • Inbound funnel: attract → engage → convert
  • Content strategy: intent, competitor analysis, content audit
  • Social setup: profiles, platform selection, content calendar, posting workflows
Week 3: SEO + Paid Ads + Landing Pages (Foundations)
  • Keyword research, on-page/off-page basics
  • Intro to AEO concepts and schema basics
  • Google Ads overview; paid vs organic basics; ad copywriting basics
  • Landing page structure and conversion elements
Week 4: Analytics + Messaging + Automation Intro + Capstone
  • GA4 basics; KPIs; reporting templates
  • Email/WhatsApp API/SMS Marketing; segmentation; messaging discipline
  • Simple automation flow: lead capture → follow-up → booking
  • Capstone build and presentation

Option 1 Capstone Deliverables
  • Strategy + funnel map
  • 10 social posts + 2 short‑form video scripts
  • 1 landing page outline/wireframe
  • 1 keyword set + basic SEO checklist
  • 1 GA4-style reporting template + KPI plan
Option 2: 3‑Month Professional Certificate
12‑Week Module Plan
Weeks 1–2: Foundations + AI Workflow
  • AI literacy + prompt patterns + evaluation and QA
  • Digital marketing strategy, segmentation, positioning, messaging, offer design
Weeks 3–5: Content + Social + Video
  • Content strategy and editorial systems; repurposing pipelines
  • Social media strategy, calendars, community management, performance improvement
  • Short-form video workflows; YouTube/Instagram optimization; creator-style execution
Weeks 6–7: Search (SEO + AEO)
  • Technical SEO essentials; on-page/off-page; Core Web Vitals basics
  • AEO: structured content for AI answers; schema basics; topical authority planning
Weeks 8–9: Paid Growth + Measurement
  • Google Ads account structure; search campaigns; landing page alignment
  • Display + video + Meta campaigns; creative testing; budgeting; tracking setup
Week 10: Web + CRO + UX
  • Website design fundamentals; UX/UI principles
  • CRO metrics; experiment design; optimization roadmap
Week 11: Analytics + Dashboards
  • GA4 reporting, dashboards, monthly review systems
  • Decision-making using metrics (what to fix, what to scale)
Week 12: Automation + No‑Code AI Tools + Final Capstone
  • CRM + automation stacks for lead gen and onboarding
  • No-code AI tool/chatbot build
  • Final capstone presentation + portfolio review

Option 2 Capstone Deliverables
  • Full strategy deck + channel plan + KPI framework
  • Content library + 30‑day multi-format calendar
  • SEO + AEO audit + 60/90‑day plan
  • Google + Meta paid plan + creative testing matrix
  • Landing page prototype + CRO roadmap
  • GA4 dashboard + monthly report deck
  • One automation workflow + one no‑code AI tool/chatbot demo
Option 3: Degree‑Level Program
1–2 Years Module Plan
Year 1 (2‑Semester model)
Semester 1 (aligned to MKT323: Foundations)
  • Digital landscape, frameworks, career pathways
  • Inbound marketing, funnel building, landing page optimization
  • Content strategy, competitor analysis, content audit
  • SEO + PPC foundations; privacy-first marketing
  • Analytics: GA4 fundamentals; decision-making systems
Semester 2 (aligned to MKT324: Social Media)
  • Strategy: goals, audience, competition, audits, content calendars
  • Campaign planning and execution
  • Platform labs: Facebook, YouTube, LinkedIn (including Shorts/community features)
  • Performance measurement and optimization; AI use in social marketing
Year 2 (4‑Semester model, recommended for maximum depth)
Semester 3 (aligned to MKT325: SEO + Ads)
  • Technical SEO (Core Web Vitals, schema), content SEO, keyword planning
  • PPC, display, video, and social ads; 360-degree campaign planning
  • Conversion tracking, KPIs, advanced measurement
  • AI-driven paid search (smart bidding, Performance Max) with governance
Semester 4 (aligned to MKT326: Web + Analytics + Automation)
  • Website design and optimization; UX/UI; user behavior analysis
  • CRO program: micro/macro conversions, bounce rate, user path, lead magnets
  • Email marketing, lead nurturing, automation, and gamification
  • Agentic AI and automation for marketing ops (with safety guardrails)
  • Ethical AI, privacy-first measurement, and responsible practices
  • Internship + capstone + portfolio defense
Program-wide assessments
  • Weekly labs and tool-based assignments
  • Mid-term project per course + final capstone + presentation/viva
  • Portfolio checkpoints and industry evaluation panels
Graduate Outcomes
Job‑Ready + Business‑Ready
By the end, students can:
  • Plan and execute multi-channel marketing campaigns
  • Produce content at scale while maintaining brand consistency and accuracy
  • Run SEO/AEO programs and measure outcomes
  • Plan paid ads with structured testing, tracking, and reporting
  • Build landing pages and improve conversion using UX/CRO principles
  • Build automation workflows and basic AI tools for marketing operations
  • Work ethically with AI and privacy-first data practices
Target entry-level roles
  • Digital Marketing Executive / Growth Associate
  • Social Media Associate / Content Associate
  • SEO/AEO Associate
  • Performance Marketing Associate (junior)
  • Marketing Analyst / CRM & Automation Associate
Entrepreneurship pathway
Choose niche → craft offer → build acquisition funnel → deliver using SOPs
Run a repeatable system for client acquisition and fulfillment
Testimonials