What is the duration of the course?

The Google Digital Marketing & E-commerce Professional Course duration ranges from 3 to 9 months depending on the selected program.

What are the course fees?

Course fees start from ₹50,000 and go up to ₹70,000 depending on the selected program.

Do you offer EMI finance support?

Yes. Eligible students can avail EMI finance support for up to 5 months with a minimum 35% down payment. Terms and conditions apply.

Do I have to pay the full fees at once?

No. Eligible students may enroll by paying a 35% down payment and finance the remaining balance through the available EMI plan.

Do you provide internship support?

Yes. Students receive internship support through practical projects and real campaign experience.

Do you provide placement support?

Yes. We provide placement assistance, resume building, interview preparation and career guidance.

Can I work in India or abroad after completing the course?

Digital marketing skills are in demand globally. We provide career guidance and placement assistance, but employment depends on your skills, experience, employer requirements, visa eligibility and market conditions.

Yes. A laptop is recommended for practical training, website development, SEO, Google Ads and Meta Ads.

Will I receive a certificate?

Yes. Students receive a course completion certificate from Ad Campaign Academy.

Can I prepare for Google, Meta and Semrush certifications?

Yes. The course prepares students for industry-recognized certification exams from Google Ads, Meta and Semrush.

Who can join this course?

Students, graduates, freelancers, entrepreneurs, business owners and job seekers can join this course.

What skills will I learn?

You will learn SEO, Google Ads, Meta Ads, WordPress, Ecommerce, Analytics, AI Marketing, Content Marketing and Performance Marketing through practical training.

Structured Data Markup on Google Search: Complete SEO Guide

Author

George simte

Ad Campaign Academy Lamka is a leading digital marketing institute offering industry-focused training with 70+ practical modules. We empower students, job seekers, and entrepreneurs with real-world skills, expert mentorship, and placement support. Learn SEO, social media, ads, and more with flexible EMI options and hands-on experience.

Structured data markup is an important part of modern technical SEO. It helps search engines understand what a webpage is about and identify important entities such as articles, products, organizations, courses, events, recipes and frequently asked questions.

Structured data does not guarantee higher Google rankings, but correctly implemented structured data can make eligible pages suitable for certain enhanced search features and rich results.

In this guide, you’ll learn what structured data is, how it works, common schema types, implementation examples and important SEO best practices.

What Is Structured Data Markup?

Structured data is a standardized format that provides search engines with additional information about the content of a webpage.

For example, a normal webpage might contain:

Ad Campaign Academy offers a digital marketing course in Lamka.

Structured data can help communicate that the page represents an educational organization and a course.

One of the most common ways to implement structured data is JSON-LD, which is placed inside a <script> element.

Why Is Structured Data Important for SEO?

Structured data can help search engines better understand the meaning and context of your content.

It can be particularly useful for:

Articles
Products
Organizations
Local businesses
Courses
Events
Recipes
Videos
Breadcrumbs
Software applications
Reviews where eligible
Frequently asked questions where eligible

Google can use eligible structured data to enhance search appearances. However, structured data is not a direct ranking guarantee. Are you content creator, business, students Learn SEO Google Ads In Lamka

The most important principle is accuracy: the markup should describe content that is actually present on the webpage.

JSON-LD Example

Here is a simple Article structured data example:

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "Article",
  "headline": "Structured Data Markup on Google Search",
  "description": "A complete beginner's guide to structured data markup and SEO.",
  "author": {
    "@type": "Person",
    "name": "George Simte"
  },
  "publisher": {
    "@type": "Organization",
    "name": "Ad Campaign Academy"
  }
}
</script>

The @context tells search engines which vocabulary is being used, while @type identifies the type of entity being described.

Organization Schema Example

Businesses and organizations can provide information about their identity using structured data.

For example:

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "EducationalOrganization",
  "name": "Ad Campaign Academy",
  "url": "https://academy.adcampaign.in/",
  "telephone": "+91-8119991197",
  "address": {
    "@type": "PostalAddress",
    "addressLocality": "Churachandpur",
    "addressRegion": "Manipur",
    "addressCountry": "IN"
  }
}
</script>

This communicates information about the organization in a structured format.

Always make sure the information in your markup matches the information presented on your actual website.

Course Schema Example

Educational websites can use Course structured data to describe courses.

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "Course",
  "name": "Google Digital Marketing & E-commerce Professional Course",
  "description": "Professional digital marketing and e-commerce training covering SEO, Google Ads, Meta Ads, WordPress and e-commerce.",
  "provider": {
    "@type": "EducationalOrganization",
    "name": "Ad Campaign Academy",
    "url": "https://academy.adcampaign.in/"
  }
}
</script>

Course structured data can help search engines understand that the page represents an educational course rather than a general blog article.

Breadcrumb Schema Example

Breadcrumbs help communicate a webpage’s position within a site’s hierarchy.

For example:

Home → SEO → Technical SEO → Structured Data

You can represent this using BreadcrumbList:

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "BreadcrumbList",
  "itemListElement": [
    {
      "@type": "ListItem",
      "position": 1,
      "name": "Home",
      "item": "https://example.com/"
    },
    {
      "@type": "ListItem",
      "position": 2,
      "name": "SEO",
      "item": "https://example.com/seo/"
    },
    {
      "@type": "ListItem",
      "position": 3,
      "name": "Structured Data",
      "item": "https://example.com/seo/structured-data/"
    }
  ]
}
</script>

This can help search engines understand the site’s content hierarchy.

FAQ Structured Data Example

FAQ structured data describes questions and answers that appear on a webpage.

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "FAQPage",
  "mainEntity": [
    {
      "@type": "Question",
      "name": "What is structured data?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Structured data is a standardized format that helps search engines understand the content and meaning of a webpage."
      }
    },
    {
      "@type": "Question",
      "name": "Does structured data improve rankings?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Structured data does not guarantee higher rankings, but eligible markup can help pages qualify for certain enhanced search features."
      }
    }
  ]
}
</script>

Important: Google has specific eligibility and display requirements for rich results, and FAQ rich results are currently limited to certain authoritative government and health sites. Therefore, don’t add FAQ markup solely because you expect an FAQ rich result.

Structured Data Best Practices

Follow these important SEO practices when implementing schema markup:

1. Use Accurate Information

Never add information to structured data that isn’t supported by the visible page content.

2. Choose the Correct Schema Type

Don’t use Product schema for an article or Article schema for a course. Select the type that accurately represents your content.

3. Don’t Add Fake Reviews

Review and rating markup must represent legitimate content and follow Google’s guidelines.

4. Use JSON-LD

JSON-LD is generally the easiest structured-data format to implement and maintain.

5. Validate Your Markup

After implementation, test your structured data with Google’s available testing and validation tools and monitor your pages in Search Console.

6. Keep Content and Markup Consistent

If your webpage says one course price but your structured data contains another price, you have a data consistency problem.

Structured Data vs SEO Ranking

It’s important to understand that structured data is not a magic ranking technique.

Adding Schema.org markup doesn’t automatically move a webpage from page 10 to page 1.

Strong SEO still requires:

Helpful and original content
Search intent optimization
Good technical SEO
Fast and accessible pages
Mobile-friendly design
Internal linking
Quality backlinks where appropriate
Strong website architecture
Good user experience

Structured data works alongside these SEO fundamentals by providing additional machine-readable context.

Final Thoughts

Structured data markup is an important technical SEO technique for helping search engines understand webpages and entities. JSON-LD makes implementation relatively straightforward, whether you’re marking up an article, course, organization, breadcrumb trail or another supported content type.

For beginners, start with the schema type that accurately describes your page, make sure the information is visible and truthful, validate your implementation, and monitor your site’s search performance.

Remember: structured data can help search engines understand your content, but useful content and a technically strong website remain the foundation of successful SEO.