Learn the whole marketing system

A website, an Instagram account and an advertising budget do not automatically become a marketing strategy. Effective digital marketing begins with a clear audience, a useful offer and a reason for someone to take the next step. This programme connects those decisions with channel selection, landing pages, search visibility, campaign execution and measurement. It is designed for organisations that want better internal capability, as well as founders and professionals who need to make informed marketing decisions. AI is used as an assistant for structured research, drafting and analysis, with human review of claims, brand voice and customer information. You learn how the parts fit together instead of treating every new tool as a separate task.

Who this programme is for

Marketing executives can use the programme to strengthen planning and reporting. Sales teams can learn how digital enquiries become qualified opportunities. Business owners can develop a clearer brief for their agency or in-house team. HR and learning leaders can organise a common foundation for employees with different levels of experience. The examples can be adapted to B2B services, education, real estate, retail or another agreed business context. Participants do not need coding experience. A laptop, basic spreadsheet confidence and a willingness to work through a practical business scenario are more useful than familiarity with every platform. Before a corporate programme, share the team's goals and current tools so that the exercises match its work.

Learning outcomes

Create an audience-and-offer brief that distinguishes customer needs, evidence, objections and the next action.
Map a customer journey and assign a measurable purpose to each selected channel.
Prepare one useful, structured landing page brief with a clear headline, proof, FAQs and contact journey.
Produce a reviewed content plan and prompt library rather than publish unverified AI drafts.
Outline a paid campaign, tracking plan and reporting dashboard using agreed business metrics.
Present a 30-day improvement plan with owners, priorities, dependencies and review dates.

Curriculum

Module 1: Customer understanding and marketing strategy

Start with the commercial problem: the business may need enquiries, repeat purchases, better awareness or more qualified conversations. Learn to separate those goals from platform activity such as posting more often. Build a practical customer profile using known evidence, buying triggers, common objections and decision criteria. Compare an organisation's promise with the proof it can show. Use AI to organise supplied research and propose questions for further investigation, then label assumptions that need validation. The aim is a strategy that fits available people, budget and assets.

Practical exercise: Choose one approved service and map its customer problem, supporting evidence, objections and next action.

Deliverable: An audience-and-offer brief, customer journey map and one primary campaign objective.

Module 2: Website experience, landing pages and lead conversion

Explore what a visitor needs before submitting a form or requesting a call: a relevant offer, understandable course or service detail, credible evidence, transparent next steps and easy contact options. Review headings, navigation, mobile readability and the relationship between an advert and its destination page. Practise writing a benefit-led headline, concise explanatory sections and FAQs drawn from real buyer questions. Build a form plan that asks for useful information without collecting unnecessary personal data. Discuss consent, response ownership and follow-up expectations as part of the experience.

Practical exercise: Review a sample landing page on a phone-sized layout and rewrite its headline, proof and enquiry journey.

Deliverable: A landing page wireframe, conversion copy draft and enquiry-handling checklist.

Module 3: SEO, local discovery and useful answers

Learn how to connect search intent with the information a page actually provides. Organise a topic into useful questions, supporting explanations and relevant internal links. Practise writing descriptive page titles and distinct meta descriptions without repeating the same keyword in every sentence. Review crawlability, indexing checks, canonical URLs and readable page structure at an introductory level. Explore local search where it is relevant to the business. AEO and GEO discussions focus on clear answers, credible authorship and accessible information. No technique can promise a top position or inclusion in an AI answer.

Practical exercise: Group ten customer searches by intent and write distinct metadata for five relevant pages.

Deliverable: A search-intent map, page improvement checklist and five reviewed title-and-description pairs.

Module 4: Content marketing with AI and editorial judgement

Develop a content system around customer questions, useful demonstrations and business priorities. Work with tools such as ChatGPT, Claude or Gemini when available to turn a source brief into an outline, draft, comparison or repurposing plan. Improve prompts by specifying role, task, context, constraints, evidence and output format. Review every result for unsupported claims, inaccurate figures, copied language and tone. Practise turning one substantial piece of knowledge into a blog outline, email and social content while retaining the same verified facts. The aim is dependable work rather than a larger volume of generic posts.

Practical exercise: Turn an approved business brief into a four-week plan, then review one AI draft against the source.

Deliverable: A four-week editorial calendar, source-led content brief and reusable prompt set.

Module 5: Google Ads and performance campaign planning

Understand the role of paid search and other Google advertising formats within a customer journey. Review campaign objectives, intent, landing page relevance, keyword planning, exclusions and budget assumptions. Draft advert concepts that match the offer and avoid unsupported guarantees. Learn why conversion definitions and tracking quality should be agreed before campaign optimisation. Explore how automated systems depend on useful signals and sound creative inputs. Exercises use a practice plan or an authorised account; running live advertising and spending money require a separately agreed budget and approval.

Practical exercise: Sketch a practice Search campaign and explain the intended audience, exclusions and budget assumptions.

Deliverable: A practice campaign structure, advert drafts, exclusion list and budget assumptions sheet.

Module 6: Social distribution, email and lead nurturing

Select social channels by audience and communication purpose rather than by popularity alone. Compare awareness content, educational content, proof and direct enquiry posts. Connect these assets with an email or follow-up sequence that answers questions progressively. Practise writing useful subject lines, brief messages and clear calls to action. Create a process for routing leads to the responsible person and recording outcomes. Discuss list quality, permission, respectful frequency and brand consistency. The exercise shows how a campaign continues after the first click and how marketing can support a productive sales conversation.

Practical exercise: Write three follow-up messages that answer a buyer's questions and define when a lead moves to sales.

Deliverable: A channel plan, three-message nurture sequence and lead handoff template.

Module 7: Analytics, key events and meaningful reporting

Build a measurement plan before choosing a dashboard design. Distinguish impressions and clicks from useful visitor behaviour, enquiries, qualified leads and business outcomes. Learn the role of GA4 events and key events, and how reporting questions should match the measurement setup. Practise using campaign naming and UTM conventions so that traffic can be interpreted consistently. Calculate simple rates using supplied example data and flag missing or unreliable information. Discuss attribution limitations and why one report cannot describe every influence on a customer decision. Present a decision, its evidence and the next test in plain language.

Practical exercise: Use sample campaign figures to calculate useful rates and identify missing measurement information.

Deliverable: A measurement specification, UTM convention and compact campaign reporting template.

Module 8: Marketing operations and a practical capstone

Bring strategy, content, media and measurement together in one campaign blueprint. Assign an owner to each activity and separate tasks that can begin immediately from those requiring information or permission. Build a review process for AI content, creative quality, tracking, budgets and lead responses. Explore a simple automation idea, such as turning approved form submissions into a team follow-up task, and map it before choosing a tool. Present the capstone against agreed criteria: customer relevance, factual accuracy, coherent journey, feasible execution and useful measurement.

Practical exercise: Present one campaign blueprint and agree who owns each first-month action and review point.

Deliverable: A complete campaign blueprint and 30-day implementation plan with owners and review points.

Why choose this programme

One connected capstone: exercises build towards a usable campaign plan instead of disconnected demonstrations.

Business context first: examples and depth can be aligned with the team's sector, audience and responsibilities.

Human-reviewed AI: participants practise source checking, prompt improvement and quality control.

Transferable decisions: the course explains why a channel or metric is appropriate so skills remain useful as interfaces change.

Training formats and preparation

Request a corporate workshop, a sequence of learning sessions or focused private coaching. The scope should match the team's starting point: a shorter session can establish fundamentals, while an extended programme creates more time for practice and review. Final duration, delivery mode, fees, dates and included resources are confirmed in the booking proposal. Do not assume that paid software subscriptions or advertising spend are included. For a team session, identify one sample product or service, a few customer questions and any approved campaign data before training. Sensitive information can be replaced with realistic practice data. This preparation makes discussion more specific and gives participants a common case to improve.

Meet Parikshit Khanna

Parikshit Khanna is the Founder of Digital Training Jet, an AI trainer, prompt-engineering practitioner and TEDx speaker. He serves as Visiting Faculty at GL Bajaj Institute of Management and Research. His teaching connects business goals with clear instructions, practical workflows and human review of results. Discuss your participants' roles, starting knowledge and intended outcomes so that the programme can use relevant examples and a realistic learning scope.

Frequently asked questions

Is this a digital marketing course or an AI course?

It is a digital marketing course that incorporates AI where it helps planning, drafting and analysis. Customer understanding, channel choice, conversion journeys and measurement remain central. AI output is reviewed rather than treated as reliable by default.

Can beginners join the training?

Yes. A foundation programme can start with marketing goals, audience research and the customer journey. Tell us the participants' experience before booking so that terminology, exercise depth and platform demonstrations are suitable.

Does the course include SEO, AEO and GEO?

It covers useful page structure, search intent, clear answers, authorship and measurement. These practices can support discoverability, but they do not guarantee a ranking, indexing decision, rich result or citation in an AI response.

Will we need paid tools or a live advertising budget?

A learning plan can use demonstrations and practice data. Some platform features depend on subscriptions or account access. Any paid tools, live campaign budget and account permissions should be agreed before the session.

Can the programme be customised for our company?

Yes. Share your sector, participant roles, priority channels and a representative business challenge. The final proposal can specify the chosen modules, practice deliverables, duration, delivery mode and scope of review.

How do I book or request course details?

Use the contact page for a corporate requirement, view the currently listed options on Topmate, or enquire through the verified WhatsApp link. Confirm the programme scope and schedule before making a booking.

Discuss your training requirement

Share your audience, marketing goal and training requirement. Request a course discussion, explore the current Topmate options or ask about a tailored programme for your team. You will be better placed to choose a format once the desired outcomes and practical scope are clear.

Discuss corporate or private training | Explore current Topmate courses | Enquire on WhatsApp

Dates, duration, delivery mode, fees and included resources are confirmed in the booking proposal. Send your preferred schedule and learning objectives to discuss a suitable programme.