Applied AI for Digital Marketing
NACC Certificate Program | Central College of Business & Technology, Mississauga
AI for digital marketing isn’t a future skill — it’s the baseline employers expect from every new marketing hire right now. This program teaches the full digital marketing toolkit — SEO, PPC, social, content, analytics — built around the ai tools marketers actually use on the job every day.
What You'll Learn
This is a hands-on digital marketing program with ai tools built into every module, not bolted onto the side. Today’s digital marketers plan and adjust marketing campaigns across multiple digital channels at once, and this program builds that exact skill set. Students leave with both classic marketing fundamentals and applied experience with generative ai, automation, and data analysis — the combination employers are actively hiring for.
- Plan and run campaigns across every major digital marketing channel: search, social, email, and paid
- Use generative ai to draft content, then edit it into your own voice
- Build and optimize google ads and other paid ads campaigns
- Apply ai models to segment audiences and personalize campaigns at scale
- Use ai chatbots and an emerging ai agent to support customer engagement
- Automate workflows to turn performance data into actionable insights using big data analytics
- Track campaign performance across digital platforms and adjust strategy mid-run
- Compare the best ai tools for a task instead of learning just one platform
Program Snapshot
| Program Detail | Information |
|---|---|
| Credential | Certificate I (Ontario Qualification Framework) |
| Total Hours | 1,000 hours (520 practical / 480 theory) |
| Delivery | In-person, Online-synchronous, or Hybrid |
| Duration | 27–52 weeks, depending on format and course load |
| Class Size | Maximum 35 students |
| Work Practicum | Applied labs and projects built into every module |
| Language | English |
| Location | Unit 201, 1140 Burnhamthorpe Rd, Mississauga |
Why AI Skills Matter in Digital Marketing Today
- AI helps marketers reach the right target audience through enhanced targeting, analyzing user interactions to segment audiences with far more precision than manual research allows
- Audience segmentation updates dynamically as behaviour changes, keeping campaigns relevant instead of static
- Generative AI assists with content creation and optimization, helping small teams produce more without sacrificing quality
- AI-driven tools can pull data and analyze consumer behaviour in real time, surfacing patterns manual review misses
- Automating routine tasks improves efficiency and frees marketers to focus on strategy, not repetitive reporting
- Industry research consistently shows customer experience has become a key differentiator for marketers — AI-driven personalization delivers that experience at scale
Curriculum: 12 Modules, 1,000 Hours
Modules aren’t always taken in strict sequence, and the program allows multiple entry points throughout the year — helpful if you’re starting mid-cycle.
| Module | Hours | What It Covers |
|---|---|---|
| Digital Marketing Fundamentals | 84 | Core digital marketing channels, digital marketing strategy basics, real-time performance measurement |
| Artificial Intelligence Literacy | 84 | How ai models work, their limits, and comparing ai apps for specific tasks |
| Social Media Marketing Strategies | 84 | Content calendars, platform-native content, influencer partnerships, built-in ai assistant features |
| Writing Digital Media Content | 84 | Writing blog drafts, marketing copy, and social captions using generative ai, then editing output into your own writing style; ai content detection awareness |
| Influencer Marketing Fundamentals | 83 | Vetting partnerships, engagement over follower counts, key performance indicators |
| Large Language Model Literacy | 83 | How tools like Google Gemini process natural language; using an ai search engine for research |
| Strategic Web Design & eCommerce | 83 | Landing pages, conversion-focused layout, checkout flow |
| UX/UI Design Fundamentals | 83 | Design choices that shape how potential customers behave on a site |
| Search Engine Optimization | 83 | How a search engine ranks pages; using AI to boost keyword research |
| Pay-Per-Click Advertising | 83 | Google Ads, demographic targeting, cost-per-click models |
| Big Data Analytics and Reporting | 83 | Turning performance data into decisions marketing teams can act on |
| Artificial Intelligence Marketing | 83 | Ai automation across full campaigns, predictive analytics, workflow automation |
AI Tools You'll Actually Use
Rather than locking into one platform, the program compares the best ai tools across categories so graduates can adapt as new ai features launch:
- Content, copy & blog writing: an ai text generator and notion ai for writing blog drafts, marketing copy, and email marketing, plus google docs for collaborative review and edits
- Voice & video: ai voice tools capable of ultra realistic speech, used for video creation and youtube videos, including voice cloning and filler word removal
- Chat & support: ai chatbots and an early look at ai agent systems that complete multi-step tasks, not just answer one question
- Research: an ai search engine, ai chat tools, and google ai studio for testing prompts against traditional web searches
- Organization: a notion workspace for project and content planning, with most tools also available as mobile apps for reviewing work on the go
- Image generation: tools to generate images for campaigns and social content
Most categories include free ai tools worth trying before committing to a paid plan, and the program covers other tools beyond these six categories as new ones gain traction. Free plans typically mean limited access to features, while a paid tier gives complete control over settings, integrations, and output volume. Students also learn practical technical details like api access, usage limits, and what a completely free tier can and can’t do before relying on it for client work — a small time investment that flattens the learning curve considerably once real client projects start.
Admission Requirements
- Ontario Secondary School Diploma or equivalent
- Mature students without a diploma: alternate admission via the Wonderlic Scholastic Level Exam (minimum score 17)
- English proficiency (if not your first language): IELTS 5.5+, TOEFL iBT 80+, CAEL 60+, CELPIP 7, or Duolingo English Test 101+
- Basic computer skills, including 40 WPM typing
- Own device: laptop or desktop with camera, current browser, and reliable internet (Intel i5 / Ryzen 5 or better, 16GB RAM, 512GB SSD recommended)
Career Outcomes
This program is directed toward the Digital Marketing Specialist occupation (NOC 11202). According to Job Bank Canada:
| Region | Hourly Wage | Approx. Annual (Full-Time) |
|---|---|---|
| Canada | $20.50–$57.44 | $42,600–$119,500 |
| Ontario | $20.00–$58.97 | $41,600–$122,700 |
| Toronto Region | $20.00–$60.73 | $41,600–$126,300 |
Wages updated November 2025. Actual pay varies by employer, industry, and experience. Graduates who combine AI fluency with core marketing skills are typically better positioned toward the higher end of this range.
Skills employers list most: analytical thinking, problem-solving, communication, collaboration with sales teams, ethical judgment around data use, and time management — including knowing when to leverage AI and when not to.
Why Central College of Business & Technology
- Small classes, real feedback — capped at 35 students so instructors can actually review your campaigns, writing, and design work
- Industry-built curriculum — developed with NACC and a working digital marketing agency, not written in isolation
- Flexible delivery — in-person, online, or hybrid, with multiple entry points across the year
- Tools included — software access through the program's learning platform, progress tracked through Moodle
- Mississauga campus — Unit 201, 1140 Burnhamthorpe Rd
Instructor Standards
Every instructor teaching this program holds a bachelor’s or master’s degree in marketing or business (or an equivalent industry certification) plus a minimum of two years teaching experience in the field. The curriculum was developed by Mujo Learning Systems Inc. in partnership with subject matter experts affiliated with an active digital marketing agency — so what’s taught in class reflects how agencies actually apply these ai tools with real clients.
Frequently Asked Questions
Q1: What does the Applied AI for Digital Marketing program actually teach?
The program covers digital marketing fundamentals, AI literacy, social media strategy, SEO, PPC, and big data analytics across twelve modules. Students use real ai tools throughout, including generative AI for content and automation tools for campaign management. Graduates leave with both traditional marketing skills and practical experience using ai apps employers expect.
Q2: Do I need a marketing background to apply?
No prior marketing or technical background is required. Admission typically requires an Ontario Secondary School Diploma or equivalent, and mature students without a diploma can qualify through an alternate admission test. The program builds digital marketing skills from the ground up, layering AI tools on top as students progress.
Q3: What AI tools and AI apps will I learn to use?
Students work with a range of ai tools across the program, including generative AI for writing and image generation, ai chatbots for customer engagement, and automation tools for campaign reporting. Rather than one platform, the curriculum compares the best ai tools for specific tasks, helping graduates adapt as new tools launch.
Q4: Can this program lead to a career as a digital marketing specialist?
Yes. The program is directed toward the Digital Marketing Specialist occupation, and graduates build the skills listed in current job postings for this role, including AI literacy, analytics, and content creation. According to Job Bank Canada, digital marketing specialists in Ontario earn between $20.00 and $58.97 per hour depending on experience.
Q5: Is this program delivered in person, online, or both?
The program is available in-person, online-synchronous, and hybrid formats. Class sizes are capped at 35 students across all formats. Program length runs between roughly 27 and 52 weeks depending on the delivery format and weekly course load a student chooses.