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Digital Marketing Course

Digital Marketing Course
in Budge Budge

Join Mivja's comprehensive Digital Marketing course in Budge Budge. Learn practical skills through live projects, expert mentorship, and flexible training.

Digital Marketing Course in Budge Budge

Become a Certified Digital Marketing Professional

6 Months ₹18,499

Join Mivja's Digital Marketing course in Budge Budge. Learn practical skills with live projects, expert mentorship, and hands-on training. Get certified and start your career in Digital Marketing.

Course Highlights

  • Hands-on training with live projects
  • Learn from certified industry experts
  • Practical assignments after every module
  • Placement assistance & career guidance
  • Flexible batch timings
  • Certificate upon completion

What You'll Learn

Module 1: Search Engine Optimization (SEO)

  • On-page SEO optimization techniques
  • Keyword research & analysis
  • Technical SEO basics & free website audits
  • Link building strategies
  • Local SEO using Google Business Profile
  • SEO tools (Google Search Console, Google Trends, Semrush, Moz, Ubersuggest)
  • Content optimization with WordPress plugins (Yoast/RankMath free)
  • SEO for e-commerce websites
  • Measuring SEO performance with Google Analytics (free)
  • SEO case studies
  • Web 2.0

Module 2: Google Ads & PPC Marketing

  • Google Ads account setup
  • Search & Display campaign creation (with demo budget)
  • Remarketing strategies
  • Keyword match types
  • Ad extensions & optimization
  • Conversion tracking setup (demo)
  • Budget management techniques
  • Performance analysis
  • Preparation for Google Ads Certification (free via Skillshop)
  • Case studies & simulations (no heavy ad spend)

Module 3: Social Media Marketing

  • Facebook & Instagram marketing
  • Social media content planning
  • Community management
  • Free social media scheduling tools (Meta Business Suite)
  • Paid ads overview (small demo budgets)
  • Influencer marketing basics
  • Social media analytics using free tools
  • Real-world campaign examples

Module 4: Content Marketing & AI Tools

  • Content strategy development
  • Blog writing for SEO
  • Copywriting techniques
  • Content research and topic development
  • AI-assisted content ideation and research
  • Using ChatGPT for content planning, writing and optimisation
  • Using DeepSeek for research, analysis and content workflows
  • Writing effective AI prompts for marketing tasks
  • AI-assisted keyword research and content briefs
  • Human editing, fact-checking and content quality control
  • Content distribution strategies
  • Performance measurement

Module 5: Analytics & Strategy

  • Google Analytics 4 setup (free)
  • Key performance metrics
  • Conversion tracking
  • Data interpretation
  • Reporting Dashboard
  • Digital marketing strategy
  • Campaign planning
  • Budget allocation (cost-effective methods)
  • ROI measurement
  • Client presentation skills

Digital Marketing Courses Near You

Frequently Asked Questions

Consider the kind of work you enjoy. SEO involves research and website improvement, paid advertising involves campaign decisions and performance analysis, while content and social media marketing involve communication and audience engagement. Exploring these areas can help you identify where your interests and abilities fit best.

Look beyond the job title and identify the actual responsibilities, required tools, experience level and expected outcomes. Some roles focus on content production, while others involve campaign management, reporting or technical SEO. Matching your projects to the employer's requirements can make your application more relevant.

Workplace tasks often involve incomplete information, competing priorities and deadlines. Students can prepare by defining objectives before starting, documenting their decisions, checking their work and explaining their recommendations clearly. These habits make it easier to move from theoretical knowledge to practical problem-solving.

An aspiring marketer should understand target audiences, customer needs, pricing, competition, sales processes and business objectives. These concepts help connect marketing activities with outcomes that matter to an organisation, such as qualified enquiries, customer acquisition and revenue.

Focus on the business objective, the main findings, what changed and what action is recommended next. Explain technical metrics in plain language and use relevant comparisons. A report should help a client make a decision rather than overwhelm them with unfamiliar terminology.

SEO specialists increasingly need to understand technical accessibility, content quality, search intent, user experience and performance measurement. AI-assisted search experiences are also changing how people discover information. A sound strategy should adapt to these developments without abandoning established SEO fundamentals.

SEO helps relevant visitors discover a website, while conversion optimisation focuses on helping those visitors complete an intended action. A page may attract organic traffic but generate few enquiries if the offer is unclear or the next step is difficult to find. Both disciplines contribute to effective digital marketing.

Start by checking Google Search Console and analytics data to identify when the decline began and which pages or queries were affected. Investigate indexing issues, technical changes, seasonality, search-result changes and possible tracking problems before recommending corrective action. Avoid making major changes based on assumptions alone.

Publish accurate, clearly structured content that answers genuine audience questions and demonstrates relevant expertise. Maintain accessible pages, use descriptive headings and provide supporting evidence where appropriate. These practices improve content quality, but no particular format guarantees inclusion in AI-generated answers.

They should establish whether the searcher wants information, is comparing options or is ready to take action. The page should match that need through relevant explanations, useful evidence and an appropriate next step. A mismatch between search intent and page content can reduce the value of otherwise relevant traffic.

Consider customer behaviour, the product or service, campaign objectives and available budget. Google Ads can reach people expressing demand through relevant searches, while Meta Ads can help businesses reach audiences through social discovery and targeted campaigns. The right choice depends on the circumstances, and testing may be necessary.

Clicks show that people interacted with an advertisement, but they do not establish whether the campaign generated useful enquiries or sales. A landing page needs to fulfil the advertisement's promise, explain the offer and make the intended action clear. Otherwise, advertising expenditure may generate visits without meaningful business results.

Evaluate campaign expenditure against relevant outcomes, such as qualified leads, purchases or customer acquisition costs. Check tracking accuracy, audience relevance and the quality of resulting enquiries. A campaign should be assessed against business objectives, not simply the number of clicks or impressions it produces.

A/B testing compares two versions of an element, such as a headline or landing-page layout, to assess which performs better against a defined objective. Reliable testing requires an appropriate measurement method and enough evidence to interpret the result. Small or inconclusive differences should not be treated as definitive proof.

AI tools can assist with brainstorming audience segments, generating creative variations and organising preliminary research. Marketers must still understand the business objective, verify assumptions and select ideas that fit the audience. The technology can support planning, but it cannot guarantee that a campaign will succeed.

Collect recurring questions from sales conversations, customer feedback, relevant search queries and website interactions. Group them by topic and stage of the customer journey, then create content that addresses the most useful questions. This approach makes content planning more audience-focused than publishing articles simply to target keywords.

Treat AI-generated material as a draft that needs editorial review. Verify claims against reliable sources, remove unsupported statements, protect confidential information and add relevant expertise or original analysis. The published content should be useful and trustworthy regardless of which tools helped produce it.

A metric measures an activity or result, such as impressions, clicks or engagement. A business outcome relates to a wider objective, such as qualified leads, sales or customer retention. Metrics help explain performance, but their value depends on how well they connect to the outcome the business wants.

Google Analytics 4 provides information about website and app activity, user interactions and configured key events. Marketers can use these insights to understand how visitors engage with a website and evaluate selected marketing activities. Correct configuration and careful interpretation are essential for meaningful conclusions.

They should define the purpose, determine when a message should be sent, verify the information being used and provide appropriate controls for recipients. Automated communication should respect consent requirements, privacy obligations and customer expectations. Poorly designed automation can create irrelevant messages or damage trust.

They can study publicly available business websites, local search results, customer reviews and the digital channels used by businesses in relevant sectors. The aim is to identify observable gaps, such as unclear service information or weak content, and develop practical recommendations without assuming that every business has the same needs.

Include the business problem, target audience, findings from an initial review, recommended activities, expected deliverables and measures of success. State assumptions clearly and distinguish proposed outcomes from guaranteed results. A focused, evidence-based proposal is more useful than offering every available marketing service.

Show the problem, the evidence examined, the options considered and the reasoning behind the selected approach. Include relevant work such as an SEO audit, content strategy, campaign plan or analytics report. Clearly label simulated projects and avoid presenting practice data as verified business results.

Investigate the evidence before deciding what to change. Review audience selection, messaging, landing-page relevance, conversion tracking and campaign costs. Identify the most plausible causes, prioritise improvements and measure the results of subsequent changes. A disappointing outcome can still provide useful information when analysed carefully.

Use the Call button on this page to speak with Mivja or the WhatsApp button to send an enquiry. You can ask about the curriculum, practical learning activities, AI applications and admission requirements before deciding whether the programme suits your goals.

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