Trainer- Digital Marketing

for the Digital Marketing course under NIIT Foundation’s AI Employability &

Skilling Program.

marketing fundamentals, campaign planning, audience segmentation, content

strategy and online brand promotion.

media marketing, search engine optimisation (SEO), search engine marketing

(SEM), email marketing and digital advertising fundamentals.

for brainstorming, copywriting, campaign ideas, content calendars and creative

optimisation.

analytics, campaign metrics, audience engagement, reach, impressions, clicks,

conversions and reporting.

Google Analytics, Google Ads, Meta Business Suite/Ads Manager, SEO tools and

email marketing platforms, as relevant to the curriculum.

Generative AI in marketing, including prompt writing, content review,

fact-checking, brand consistency, privacy and copyright awareness.

simulations, case studies, content calendars, sample ad campaigns and

portfolio-based projects.

doubt-clearing sessions and mentor learners with varied levels of digital

proficiency.

assignments, quizzes, projects and course assessments; provide timely feedback

and remedial support.

progress, assessment outcomes and completion through LMS/MIS and share reports

with the program team.

portfolio development, resume guidance, mock interviews and preparation for

entry-level digital marketing roles.

presentations, tool demonstrations, assignments, question banks and project

briefs.

current digital marketing practices, platform updates and entry-level industry

requirements.

stories and relevant training insights for program reporting and impact

documentation.

Marketing, Digital Marketing, or a related discipline. Relevant certifications

in Google Ads, Google Analytics, Meta advertising, SEO or digital marketing are

an advantage.

AI tools for content ideation, copywriting, campaign planning, creative

variations, audience research and marketing productivity. Ability to teach

responsible use and verification of AI-generated outputs.

learner-centric approach.

ability to demonstrate tools and workflows.

concepts for learners from diverse academic backgrounds.

development and job-role readiness.

collaboration skills.