Full Stack in AI Digital Marketing with Internship (5 Course in 1 Program)

• Digital business models: service, product, subscription, hybrid
• Fundamentals of modern digital marketing
• Buyer psychology and online decision-making behaviour
• Understanding customer pain points, desires and motivations
• STP Framework: Segmentation, Targeting, Positioning
• Offer creation, value proposition and differentiation
• Understanding marketing funnels and lead journeys
• Customer avatars, personas and behavioural segmentation
• Mapping the customer journey across platforms
• Owned, paid, earned media channels and their roles
• Marketing messaging fundamentals and clarity frameworks
• Marketing KPIs: awareness, engagement, acquisition, conversion, retention
• Goal setting and aligning marketing with business objectives
• Basics of branding, communication and market positioning
• Introduction to competitive advantage and market categories

• Fundamentals of Artificial Intelligence in modern marketing
• Difference between AI, Machine Learning and Deep Learning
• Understanding how Large Language Models function
• What tokens, embeddings and vector representations mean
•How AI processes text, images, audio and video
• Basics of training, fine-tuning and model adaptation
• Understanding datasets, data patterns and data cleaning
• Introduction to supervised and unsupervised learning
• Understanding how LLMs generate responses and reasoning
• Introduction to transformer architecture (simple view)
• AI use cases in marketing, design, ads, and automation
• Strengths, limitations and constraints of AI systems
• Understanding hallucinations and accuracy issues
• Safe, responsible and ethical use of AI tools
• Evolution of AI trends and current AI ecosystem

• Fundamentals of prompt engineering for text, image and video models
• Understanding how AI interprets instructions, context and constraints
• Types of prompts: task-based, role-based, persona-based, structured
• Prompt frameworks: CORT, RACE, TREE, Chain-of-Thought, Step-by-Step
• Writing clear, specific and outcome-driven prompts
• Few-shot prompting using examples for improved accuracy
• Building prompt templates for SEO, ads, content and branding
• Multi-step prompting and workflow-based prompting
• Using system instructions to control tone, style and identity
• Understanding negative prompting (exclusions, avoid rules)
• Removing unwanted outputs using restriction-based prompting
• Eliminating hallucinations through boundary-controlled prompts
• Controlling creative direction for image and video AI tools
• Advanced prompting for structured data, tables and analysis
• Forming reusable prompt libraries for marketing and design

• Fundamentals of SWOT and its role in strategic marketing
• Identifying internal strengths using structured evaluation frameworks
• Mapping weaknesses across operations, marketing, and product layers
• Understanding market opportunities using current trend analysis
• Identifying threats: competitors, substitutes, industry shifts
• AI-powered competitor research (tools, datasets, intelligence sources)
• Market segmentation and industry landscape mapping
• Creating actionable insights from SWOT findings
• Using SWOT for content strategy, brand positioning and offers
• Real-time SWOT using AI scanners and trend-monitoring tools
• Benchmarking competitors using digital footprint audits
• Identifying gaps in customer journey vs competitor offerings
• Analysing competitor ads, websites, funnels and content systems
• Translating market research into marketing strategy
• Building a complete SWOT report for a real brand

• Fundamentals of brand identity, philosophy and core values
• Defining brand mission, vision and long-term positioning
• Understanding brand personality and archetype frameworks
• Creating a consistent tone of voice and communication style
• Building messaging frameworks for clarity and differentiation
• Developing visual identity: typography, color, layout, grids
• Creating brand guidelines for digital consistency
• AI-assisted brand asset creation (logos, palettes, templates)
• Crafting brand stories, narratives and emotional hooks
• Positioning a brand in competitive markets
• Understanding perception, recall and brand equity
• Building trust signals across digital platforms
• Creating content pillars aligned with brand identity
• Implementing brand consistency across social, ads, and web
• Auditing existing brands and rebuilding identity systems

• Foundations of digital copywriting and content psychology
• Understanding user intent and content purpose
• AI-assisted long-form writing (blogs, articles, guides)
• AI-assisted short-form writing (captions, hooks, scripts)
• Copywriting frameworks: AIDA, PAS, BAB, QUEST, 4P, FAB
• Creating content calendars and publishing schedules
• Crafting high-conversion landing page copy with AI
• Tone, style and persona adaptation using AI tools
• Creating ad copy variations for testing and optimization
• Generating SEO-optimized content using AI clusters
• Building personal branding content with AI workflows
• Structuring educational, UGC, storytelling and promotional content
• Using AI for idea generation, research and content outlines
• Creating content systems reusable across platforms
• Building a complete AI content engine for marketing teams

• Fundamentals of visual design: layout, spacing, grid systems, composition
• Color theory essentials: palettes, contrast, gradients, branding colors
• Typography foundations: font pairing, hierarchy, readability
• Designing brand identity kits using Canva & AI tools
• Creating social media creatives using Canva’s AI features
• Using Photoshop for professional image editing and retouching
• AI-powered ideation and visual generation (Midjourney, Firefly, Ideogram)
• Prompting image styles, structures, moods and variations
• Negative prompting to remove unwanted objects and improve outputs
• Designing carousels, banners, thumbnails, ads and brand templates
• Photoshop tools: layers, masking, smart objects, effects, blending
• Enhancing images using AI upscalers and background removal tools
• Building platform-specific creatives (IG, FB, YT, LinkedIn, Ads)
• Designing consistent visual systems for brands
• Exporting, compressing and optimizing assets for web & social

• Fundamentals of video editing: pacing, timing, sequencing
• Understanding storytelling frameworks for short & long videos
• AI video editing tools: Runway, Pika, Descript, Wondershare
• Using Canva for quick video edits, templates and motion graphics
• Using CapCut for reels, shorts, transitions and effects
• Editing workflow: cuts, trims, layers, overlays, audio sync
• AI script generation for reels, shorts, ads and UGC
• Automatic captioning, subtitles and multilingual outputs
• Using AI to generate B-roll, background visuals and scenes
• Face tracking, masking, green screen and keying workflows
• Basic motion graphics and text animations
• Creating hooks, pattern interrupts and viral cuts
• Using AI for voice-over generation and enhancement
• Export settings for different platforms (IG, YT, FB, LinkedIn)
• Building a complete AI-first video content pipeline

• Understanding platform-specific content behaviours (IG, YT, FB, X, LinkedIn)
• Frameworks for high-retention short-form videos
• Creating hooks, scroll-stoppers and attention triggers
• Structuring storytelling for reels, shorts and micro-content
• Carousel creation systems for education, storytelling and branding
• Designing ads and promotional creatives following funnel stages
• AI-assisted ideation for scripts, concepts and creative directions
• Using trend analysis tools for content planning
• Frameworks for UGC, testimonial and authority-building content
• Platform-wise specs: ratios, durations, formats and best practices
• Reusable content systems: repurposing long-form → short-form
• Tools for scheduling, auto-posting and cross-platform distribution
• Building content calendars for 30 Days
• Creating brand-specific content pillars and themes
• Using analytics to refine and improve creative performance

• Understanding the difference between UI and UX
• Principles of user-centered design and digital usability
• Visual hierarchy and attention-guiding techniques
• Layout foundations: grids, spacing, alignment, composition
• Designing intuitive navigation and frictionless user flows
• Mobile-first and responsive design fundamentals
• Colour theory, typography and consistency for conversion
• Understanding user psychology, motivation and friction points
• Building clarity-first layouts for marketing websites
• Core Landing Page Rules (Clarity, Structure, Speed, Focus)
• Hero Section Rules: headline, sub-headline, CTA, proof, imagery
• Above-the-fold best practices and immediate value communication
• Crafting high-converting CTAs (placement, contrast, text)
• Social proof placement and authority-building elements
• Scroll-depth planning and section sequencing
• UX pattern analysis: what makes top landing pages convert
• Using AI tools to generate UI ideas, layouts and design variations
• Accessibility basics: readability, contrast, UX for all users
• Creating low-fidelity layout drafts without design tools
• Landing page performance testing (clarity tests, attention heatmaps)

• Understanding domain names and selecting a brand-friendly domain
• Choosing the right domain extensions (.com, .in, .co, .ai)
• Buying and managing a domain on trusted platforms
• Basics of hosting: shared, cloud, managed (simple explanation)
• Selecting the right hosting for small-business websites
• DNS basics: connecting domain to hosting in an easy, guided way
• Setting up SSL for secure and trusted websites (HTTPS)
• Creating branded business email (name@yourbrand.com)
• Introduction to AI website builders (Hostinger AI, Bolt, Rocket)
• Building simple websites & pages using AI website builders
• Introduction to Cursor for AI-assisted website creation and editing
• Using GitHub as a simple repository for storing website files
• Backing up website files to GitHub (non-technical workflow)
• Publishing a website: domain mapping, SSL, live status checks
• Website launch checklist: speed, mobile view, links, forms & analytics
• Creating Landing page with AI

• Understanding how search engines work: crawling, indexing, ranking
• Search intent: informational, navigational, transactional, local
• Modern SEO foundations: relevance, authority, user experience
• On-page SEO basics: titles, descriptions, headers, content, images
• Off-page SEO basics: backlinks, citations, brand signals
• Technical SEO basics: speed, mobile, indexing, sitemaps, robots
• Local SEO & GEO ranking fundamentals for local businesses
• Google Business Profile optimisation for Map Pack ranking
• Reviews, citations & NAP consistency for GEO SEO
• Introduction to AEO: Answer Engine Optimization for AI search
• Optimising for Google SGE, Perplexity, ChatGPT Search
• Implementing LLM.txt for better visibility in AI models
• Keyword clustering & topical authority building using AI tools
• AI-powered SEO tools: research, clustering, content scoring
• Creating SEO-friendly, AI-assisted topic ecosystems for ranking

• Understanding the social media ecosystem (IG, FB, YT, LinkedIn, X)
• How each platform’s algorithm works and ranks content
• Content types that perform best on each platform
• AI-assisted content planning, scripting and ideation
• Building brand presence and authority across platforms
• Influencer ecosystem fundamentals and creator categories
• Identifying, evaluating and collaborating with influencers
• Social monetization systems: IG, YT, LinkedIn, X earning models
• Building social media content frameworks (shorts, reels, carousels)
• Meta Ads basics: campaign structure, objectives and creatives
• LinkedIn Ads fundamentals for B2B and professional brands
• X Ads basics: targeting, interests and trend-based promotions
• CTA planning, ad copy fundamentals and creative guidelines
• Understanding risks: violations, shadow bans, demonetization, fake followers
• Building a practical social media + influencer + ads strategy

• Google Ads ecosystem and full campaign overview
• Account structure: campaigns, ad groups, ads, assets, audiences
• Keyword strategy, intent mapping and clustering
• Search campaigns (advanced structure, negatives, query sculpting)
• Performance Max (PMax) campaigns: asset groups, audience signals, insights
• Demand Gen campaigns: carousels, videos, warm targeting, creative strategy
• Display campaigns: placements, targeting, exclusions, creative rules
• Video campaigns (YouTube): skippable, non-skippable, in-feed, shorts
• Shopping & Smart Shopping campaigns (product feed basics)
• App campaigns: installs, engagement and bidding
• Local campaigns & Local Services Ads (where available)
• Remarketing campaigns: website, YouTube, app audiences
• Custom segments & advanced audience targeting
• Smart bidding strategies: Max Conversions, Max Value, tCPA, tROAS
• Ad assets: sitelinks, callouts, snippets, images, videos, forms
• Creative best practices for Search, PMax, Demand Gen & YouTube
• Conversion tracking (GA4 + GTM) for advanced campaigns
• Optimization frameworks: search terms, exclusions, creative refresh, scaling
• Performance analysis: CTR, CPC, CPA, ROAS, conversions, asset-level insights
• Scaling strategies: budget expansion, keyword expansion, asset group duplication

• Understanding the performance marketing ecosystem
• Difference between performance ads vs brand ads
• Funnel strategy: TOFU, MOFU, BOFU targeting
• Offer creation for performance campaigns
• Audience research: cold, warm, hot segmentation
• Retargeting frameworks and audience recycling
• Understanding tracking: conversions, micro goals, macro goals
• Setting up GA4 conversions for performance objectives
• Setting up events for add-to-cart, leads, signups, calls
• Understanding attribution: last click, data-driven, position-based
• Writing performance-focused ad copy and creative hooks
• Landing page alignment with ad messaging (message match)
• Basics of CRO (conversion rate optimization)
• A/B testing creatives, audiences and landing pages
• Scaling budgets without breaking campaigns
• Analysing performance metrics: CTR, CVR, CPC, CPA, ROAS
• Identifying winning ads and shutting off poor performers
• Performance dashboard reading and insights generation
• Creating high-performing funnels using ads + LP + retargeting
• Performance marketing case studies and real examples

• Introduction to GA4 interface and navigation
• Setting up GA4 for websites and landing pages
• Understanding events and event-based tracking
• Setting up conversions for leads, forms, calls and purchases
• Traffic source analysis: organic, paid, social, referral, direct
• Behaviour flow and user journey tracking
• Engagement metrics: scrolls, clicks, sessions, time on page
• Funnel analysis and identifying drop-offs
• Understanding device, location and demographic reports
• Integrating GA4 with Google Ads for better attribution
• Using Search Console data inside GA4
• Tracking marketing campaigns with UTM parameters
• Creating custom dashboards and quick reports
• Identifying high-performing pages and traffic sources
• Using GA4 insights to improve content, ads, SEO and funnels

• Understanding AI automation and its role in digital marketing
• Basics of workflow automation: triggers, actions, data passing
• Introduction to n8n for marketing automation
• Building simple n8n flows: lead capture → CRM → email
• Automating social media tasks using n8n and AI tools
• Automating landing page form submissions to CRM/spreadsheets
• Using AI to enrich leads (name, company, email classification)
• Creating AI-powered email follow-up sequences
• Automating content distribution across platforms
• AI agents for research, competitor monitoring and insights
• Building AI agents that generate daily content ideas
• Creating AI chat assistants for websites (lead qualification)
• Connecting Google Ads & Analytics data into automated dashboards
• Using Make/Zapier alternatives for simple marketing automations
• Creating a complete marketing automation workflow using n8n + AI agents

• Final full-stack project: brand research, website, SEO, ads, automations
• Creating a professional digital marketing portfolio
• Resume building for digital marketing & AI-driven roles
• LinkedIn optimization for personal branding and recruiter visibility
• Mock interview training (technical + HR + scenario-based)
• Freelancing fundamentals: profile setup, gig structuring, proposals
• Building case studies to attract clients and agencies
• Setting up a professional portfolio website or GitHub profile
• Preparing for client pitches and portfolio presentations
• Career guidance, job placement support & interview follow-ups|