AI-Powered Digital Marketing Course in Ahmedabad
Learn digital marketing from scratch with hands-on training in SEO, AI search visibility, content marketing, Google Ads, Meta Ads, social media, analytics, lead generation and marketing automation. Use modern AI tools to research keywords, create and optimize content, plan campaigns, analyze performance and improve conversions. Build practical projects and a professional portfolio to prepare for entry-level digital marketing roles.
Skills & Technologies Covered
- SEO
- Google Analytics 4 (GA4)
- Google Search Console
- Google Ads
- Meta Ads Manager
- Google Tag Manager
- Looker Studio
- WordPress
- Google Sheets
- CRM & Marketing Automation Platforms
Live Production Project & Internship Experience
Live Client Project:
Learners will plan and execute an end-to-end digital marketing campaign for a real or simulated business, such as an IT training company, local service provider or e-commerce brand. They will research the market and competitors, define target audiences, perform keyword research, audit and optimize a website, create SEO-friendly content, improve visibility across traditional search and AI-assisted discovery, plan Google and Meta advertising campaigns, develop social media content, build landing pages, configure conversion tracking, analyze performance through GA4 and Looker Studio, and automate lead follow-ups using a CRM or no-code automation tool. The final deliverables will include a digital marketing strategy, SEO audit, content calendar, campaign plan, analytics dashboard, lead-generation funnel and client-ready performance report. Paid campaign execution will depend on approved budgets and account access.
Detailed Course Curriculum & Modules
Module 1: Introduction to Digital Marketing
- • What digital marketing is and how businesses use it
- • Traditional marketing vs digital marketing
- • Digital marketing channels and customer journeys
- • B2B, B2C, e-commerce, local business and service marketing
- • Understanding leads, customers, revenue and return on investment
- • Digital marketing job roles and industry workflows
- • Introduction to AI in marketing and responsible use
- • Assignment: analyse the digital presence of three businesses
Module 2: Market Research, Audience & Strategy
- • Market and competitor research
- • Customer personas, pain points and buying behaviour
- • Customer journey and marketing funnel
- • Brand positioning, value proposition and messaging
- • Audience segmentation and customer intent
- • SWOT analysis and competitor benchmarking
- • AI-assisted research with source verification
- • Assignment: create a marketing strategy for a chosen business
Module 3: Marketing Communication & Copywriting
- • Headlines, hooks, calls to action and persuasive writing
- • Writing for websites, ads, email and social media
- • Brand voice, tone and audience adaptation
- • Offers, benefits, objections and landing-page copy
- • AI prompting for different marketing formats
- • Fact-checking, originality, copyright and ethical content use
- • Assignment: create a messaging and copywriting portfolio
Module 4: SEO Fundamentals & Keyword Research
- • How search engines crawl, index and rank pages
- • Search intent: informational, commercial, transactional and navigational
- • Short-tail, long-tail, local and branded keywords
- • Keyword research using Google Search Console, Keyword Planner and SEO tools
- • Competitor keyword gap analysis
- • Topic clusters, content hubs and keyword mapping
- • Search volume, competition and business relevance
- • AI-assisted keyword grouping and research validation
- • Assignment: keyword strategy for 30–50 relevant search terms
Module 5: On-Page SEO & Content Optimization
- • Title tags, meta descriptions, headings and URLs
- • Internal linking, image optimization and alt text
- • Content structure, readability and helpful answers
- • Content briefs, topical coverage and content refreshes
- • SEO-friendly product pages, service pages and blogs
- • Duplicate content, canonical URLs and redirects
- • AI-assisted content improvement without mass-producing low-value pages
- • Assignment: optimize five website pages and one blog article
Module 6: Technical SEO & Website Auditing
- • Website structure, crawlability and indexability
- • XML sitemaps, robots.txt and canonicalization
- • HTTP status codes, redirects and broken links
- • Mobile usability, page experience and Core Web Vitals fundamentals
- • Structured data and schema validation
- • JavaScript SEO basics and rendering concepts
- • Website audit tools and prioritizing technical issues
- • Assignment: conduct a technical SEO audit and prepare a fix report
Module 7: Local SEO & Google Business Profile
- • Local search intent and location-based keywords
- • Google Business Profile setup and optimization
- • Business categories, services, photos and updates
- • Reviews, reputation management and response writing
- • Local landing pages and consistent business information
- • Local competitor analysis and reporting
- • Assignment: prepare a local SEO plan for an Ahmedabad business
Module 8: AI Search, AEO & GEO Fundamentals
- • How AI-assisted search and answer engines differ from traditional search
- • Overview of Google AI Overviews, AI Mode and conversational search tools
- • AEO (Answer Engine Optimization) and GEO (Generative Engine Optimization): concepts, use cases and limitations
- • Creating original, useful, trustworthy and well-structured content
- • Entity clarity, brand information, credible sources and digital reputation
- • Improving crawlability and content accessibility
- • Measuring search visibility, referral traffic and assisted conversions
- • Testing brand and topic discovery across AI search experiences
- • Assignment: prepare an AI-search visibility assessment and recommendations
Module 9: AI-Assisted Content Marketing
- • Content strategy, pillars and topic calendars
- • Blog articles, case studies, landing pages and lead magnets
- • AI-assisted research, outlines and content briefs
- • Human editing, factual validation, originality and brand consistency
- • Repurposing one idea into multiple content formats
- • Content distribution and performance evaluation
- • Assignment: create a 30-day content calendar and publish-ready samples
Module 10: Social Media Marketing
- • Facebook, Instagram, LinkedIn and YouTube marketing
- • Platform-specific content and audience behaviour
- • Reels, Shorts, carousels, stories and professional posts
- • Content scheduling, community management and moderation
- • Social listening, engagement quality and reputation management
- • Influencer collaboration and campaign briefs
- • AI-assisted content planning and creative variations
- • Assignment: create a two-week multi-platform social campaign
Module 11: AI Image, Video & Creative Production
- • Marketing design principles and visual storytelling
- • Canva Magic Studio and Adobe Firefly workflows
- • Short-form video editing with CapCut AI or equivalent tools
- • Creating ad creatives, thumbnails, banners and product visuals
- • Scriptwriting, storyboards, captions and subtitles
- • Brand consistency and creative testing
- • Copyright, licensing, synthetic media disclosure and consent
- • Assignment: produce a set of campaign creatives and short videos
Module 12: Video Marketing & Creator Campaigns
- • YouTube channel setup and content planning
- • Video titles, descriptions, thumbnails and audience retention
- • Short-form video strategy
- • Influencer discovery, briefs and performance tracking
- • Creator collaboration and user-generated content
- • AI-assisted editing, transcription and repurposing
- • Assignment: prepare a video campaign with measurable objectives
Module 13: Paid Advertising & Performance Marketing : Google Ads
- • Advertising objectives, budgets and campaign structure
- • Search campaigns, keyword matching and negative keywords
- • Ad copy, assets and landing-page relevance
- • Display, YouTube and shopping campaign concepts
- • Bidding strategies and conversion goals
- • AI-assisted bidding, asset generation and campaign recommendations
- • Search terms, quality signals and optimization
- • Assignment: build a Google Ads campaign plan with a proposed budget
Module 14: Meta Ads — Facebook & Instagram
- • Meta Ads Manager and campaign hierarchy
- • Campaign objectives, audiences and placements
- • Creative formats, hooks and ad copy
- • Lead-generation and website-conversion campaigns
- • Pixel, Conversions API concepts and event tracking
- • Automated placements and AI-assisted creative optimization
- • Remarketing, audience exclusions and campaign reporting
- • Assignment: design a lead-generation campaign and testing plan
Module 15: Performance Marketing & Budget Optimization
- • Impressions, reach, clicks, CTR, CPC, CPM and conversions
- • Cost per lead, cost per acquisition and ROAS
- • Budget allocation and campaign forecasting
- • A/B testing and experiment design
- • Creative fatigue and audience saturation
- • Funnel performance and attribution limitations
- • AI-assisted insights with human validation
- • Assignment: evaluate a sample campaign and recommend improvements
Module 16: Analytics, Conversion & Automation: Marketing Analytics & Reporting
- • Google Analytics 4 setup and key reports
- • Google Search Console performance analysis
- • Google Tag Manager fundamentals
- • Events, key events and conversion tracking
- • UTM parameters and campaign attribution
- • Google Sheets for campaign data and reporting
- • Looker Studio dashboards and client reporting
- • AI-assisted analysis, insight generation and anomaly checks
- • Assignment: create a marketing dashboard with actionable recommendations
Module 17: Conversion Rate Optimization & Landing Pages
- • Landing-page structure and conversion principles
- • Forms, calls to action and lead capture
- • User experience and mobile-first design
- • Heatmaps and session-replay concepts
- • Microsoft Clarity or equivalent behaviour analytics
- • A/B testing hypotheses and interpreting results
- • Funnel drop-off and conversion improvement
- • Assignment: audit and redesign a landing page
Module 18: Email, CRM & Lead Nurturing
- • Lead capture and qualification
- • CRM pipeline, contact records and lifecycle stages
- • Email campaigns, segmentation and personalization
- • Welcome sequences and follow-up workflows
- • WhatsApp business communication and consent
- • Deliverability, unsubscribe management and privacy
- • Lead scoring and AI-assisted message drafting
- • Assignment: build a lead-nurturing sequence and reporting workflow
Module 19: No-Code Marketing Automation & AI Workflows
- • Workflow design and process mapping
- • Connecting forms, spreadsheets, email and CRM systems
- • Zapier, Make or equivalent automation platforms
- • Automated lead routing and follow-up reminders
- • AI-assisted classification, summarization and personalization
- • Human approval steps, error handling and monitoring
- • Privacy, access controls and responsible use of customer data
- • Assignment: build a working lead-capture-to-follow-up automation
Module 20: E-commerce & Growth Marketing
- • Product pages, category pages and shopping journeys
- • Product-feed and shopping campaign fundamentals
- • Customer acquisition and retention
- • Cart abandonment and remarketing concepts
- • Upselling, cross-selling and repeat purchases
- • Revenue, margin and customer lifetime value basics
- • Assignment: create an e-commerce growth plan
Module 21: Digital Marketing for B2B & Local Businesses
- • Lead generation for IT companies and professional services
- • LinkedIn marketing and B2B content
- • Local service marketing and reputation management
- • Marketing-qualified leads and sales handoff
- • Campaign proposals, budgets and client communication
- • Reporting business outcomes rather than vanity metrics
- • Assignment: prepare a client-ready marketing proposal
Module 22: Portfolio, Certifications & Interview Preparation
- • Build a portfolio of audits, campaigns, dashboards and content
- • Write a resume and optimize a professional LinkedIn profile
- • Explain campaign decisions and business impact
- • Practise SEO, analytics, advertising and marketing scenario questions
- • Present a campaign to a mock client
- • Understand agency, in-house and freelance workflows
- • Prepare for relevant platform certifications
Who Should Join & Prerequisites
Prerequisites: Basic computer and internet skills, Basic English reading comprehension, Interest in marketing and online business, Willingness to practise and analyse data, No prior coding or digital marketing experience required
Recommended For: Fresh graduates and job seekers, College students from any stream, Beginners interested in digital marketing, Aspiring SEO and performance marketing professionals, Entrepreneurs and business owners seeking digital growth
Career Roles & Job Opportunities
- 💼 Digital Marketing Executive
- 💼 SEO & AI Search Optimization Executive
- 💼 Performance Marketing Executive
- 💼 Content & Social Media Marketing Executive
- 💼 Marketing Analytics & Automation Executive
100% Placement Support & Practical IT Training in Ahmedabad
ExcelPTP Solutions (Amar Technolabs Pvt. Ltd.) provides practical 1-to-1 IT training until you secure your job in an IT company. We provide complete resume building, technical mock interview practice, technical viva preparation, and direct job interviews with hiring partner companies in Ahmedabad, Gandhinagar, and across Gujarat.
🏢 Campus Address: 4th Floor, Sunrise Avenue, Opp. Drive-In Cinema, Thaltej, Ahmedabad, Gujarat 380054
📞 Inquiries & Counseling: +91 94093 78394 / +91 91922 00000
✉️ Email: info@excelptp.com | 🌐 Website: https://www.excelptp.com
Still Have Questions?
Get clarity on course details, hands-on training, real-world projects, eligibility, fees, and career opportunities before you get started.
Can I learn digital marketing from scratch if I have no prior experience?
Yes! This course starts with the fundamentals of digital marketing and gradually progresses to SEO, AI tools, social media marketing, paid advertising, analytics and automation. No previous digital marketing experience is required.
Is digital marketing a good career choice for freshers in the AI era?
Yes, digital marketing can be a career option for freshers who enjoy creativity, technology, research and data analysis. AI is automating some routine tasks, so learners should develop strategic thinking, campaign optimization, analytical skills and the ability to use AI responsibly.
Will AI replace digital marketing jobs by 2030?
AI is likely to automate more repetitive marketing tasks, including basic content drafts, reporting and campaign optimization. However, businesses will still need people who understand customers, develop strategies, evaluate results and make responsible decisions. Learning AI alongside core marketing skills can help you adapt to changing job requirements.
Which AI tools will I learn during the course?
ou will practise with tools such as ChatGPT, Google Gemini, Claude, Perplexity, Canva Magic Studio, Adobe Firefly and AI-assisted SEO tools. You will also explore AI features in advertising and marketing automation platforms. Tool availability and features may change over time.
What is the difference between SEO and digital marketing?
SEO focuses on improving a website's visibility in organic search results. Digital marketing is broader and includes SEO, paid advertising, social media, content marketing, email campaigns, analytics and other methods of reaching customers online.