Every class is live, one-on-one and set to your hours.See all 243 courses →
Google Certified Digital Marketing with AI (RCADM) AI & Machine Learning

Google Certified Digital Marketing with AI (RCADM)

This Google-certified programme trains you in modern, AI-assisted digital marketing. You'll cover SEO, Google and social ads, content, analytics, and how to use AI tools to work smarter, running real campaigns along the way. It's a comprehensive, career-focused course for one of the most hireable skill sets today.

Duration
3.5 to 4 Months
Format
Live 1-on-1
Level
Professional
Certificate
Osian (Global) NSDC Google
Overview

What this course is about

Digital marketing becomes valuable when a learner can connect audience research, creative work, campaign setup and evidence from analytics. In live 1-on-1 online classes, this Google Certified Digital Marketing with AI course introduces search engine optimisation, social media, paid advertising, email, content planning and responsible AI assistance. Your teacher relates each exercise to an Indian business context, whether that is a local service, online shop, education brand or personal portfolio, so the work has a clear purpose.

You will map customer intent, research keywords, write landing page content, plan a content calendar and read core performance signals in analytics platforms. Practical advertising work covers campaign objectives, audiences, budgets as planning concepts, ad copy, creative variations and tracking basics. AI is used for idea generation, research organisation and draft refinement, with human fact checking, brand voice and privacy awareness kept central. A campaign case study lets you explain decisions, tests and improvements rather than display empty activity.

The RCADM-oriented programme is broader than a standalone SEO or social media class because it joins organic discovery, paid promotion, content, email, analytics and AI-assisted workflows. It prepares learners for relevant digital marketing certification study, but any official credential, exam rules and fee must be checked with the current issuing organisation. Sessions run from 7 AM to 9 PM or weekends, with a certificate and placement support through resume help, mock interviews and referrals.

By the end

What you’ll be able to do

  • Plan audience-focused campaigns using objectives, customer journeys and channel choices
  • Optimise web content with keyword intent, on-page structure and ethical SEO practices
  • Create social, email and paid-ad assets that match a clear brand and audience
  • Read analytics signals, tracking basics and campaign reports to guide improvements
  • Use AI tools for marketing research and drafting while checking accuracy and privacy
  • Present a channel strategy and campaign case study suitable for portfolio discussion
Syllabus

How the course flows

  1. 1
    Python & Maths for AIWeeks 1–2

    The Python, statistics and linear-algebra basics ML runs on.

  2. 2
    Working with DataWeeks 3–4

    Loading, cleaning and exploring datasets that models can learn from.

  3. 3
    Core ML AlgorithmsWeeks 5–6

    Regression, classification and clustering — how models actually learn.

  4. 4
    Model Training & EvaluationWeeks 7–8

    Training, testing and measuring whether a model is any good.

  5. 5
    AI ProjectWeeks 9–14

    A complete build, from raw data to a working, evaluated model.

Toolkit

Tools you’ll use

  • Python
  • NumPy & pandas
  • scikit-learn
  • TensorFlow / Keras
  • Jupyter Notebook
Audience

Who this course is for

  • College students exploring digital marketing after 12th or graduation
  • Small business owners promoting local products and services online
  • Working professionals moving from sales, content or administration into marketing
  • Freelancers building a service portfolio for Indian business clients
  • Job seekers preparing for entry-level campaign, SEO or social media roles
Where it leads

Roles this opens up

  • Digital Marketing Executive

    Coordinate content, search, social and campaign tasks while recording useful performance insights.

  • SEO and Content Associate

    Research search intent, improve web pages and produce structured content for target audiences.

  • Performance Marketing Trainee

    Assist with paid campaign setup, creative testing, tracking checks and reporting workflows.

Questions

Before you enrol

Yes, you will build a campaign case study covering audience, objective, channel selection, creative, tracking and review. The exercises focus on explaining decisions and learning from evidence, not simply switching advertisements on.

AI can support idea generation, research organisation, outlines and draft refinement, while you verify facts, protect sensitive information and retain human judgement. The teacher also discusses where automated output should not be trusted without review.

Yes, the course connects organic search, social content, email and paid promotion with analytics. This integrated view is broader than a class devoted to only one channel and helps you understand how activities support a customer journey.

The programme prepares you for relevant certification study and gives you practical marketing work to discuss. Official certification ownership, exam registration, current requirements and any fee are governed by the issuing organisation and should be checked there.

Yes, examples can use a local service, catalogue or education brand, with attention to audience intent and realistic content. Your teacher can help you turn the work into a clear plan without promising a particular business result.

A laptop, reliable internet, a browser, spreadsheet access and suitable analytics or advertising practice accounts are useful. Live setup guidance can help you separate learning environments from any active business account and protect access details.