Not a course about neural networks. Not a course about marketing. A 27-hour workflow sprint: embed AI into the full marketing cycle — from market analysis to agentic automation — with verification at every step.
27
Academic hours 45% theory · 35% practice · 20% lab
The course shows how to move from "write a text" to structured steps
We go from "knowing about AI" to specific working scenarios
If you're experienced in marketing but new to AI — you'll manage
If you've taken AI courses but haven't embedded them in your workflow — this is for you
Not right for you if you
Are looking for an intro to neural networks
No experience in digital marketing
Expecting a tool list without methodology
Want AI to "do everything" without verification
Not ready to work on real marketing tasks
Cognitive exoskeleton in action
Marketing tasks AI amplifies
AI is the exoskeleton of the marketer's thinking: it amplifies speed and coverage without replacing judgement. Every task follows the same pattern: methodology → AI layer → HITL verification.
13Use AI solution architecture and a decision matrix to evaluate tasks by autonomy, risk and cost criteria
Automation
AI in the marketing process: what it delivers
The course builds the foundation for moving to advanced agentic marketing automation. Figures from industry sources (Gartner 2025, Alvarez & Marsal 2026).
−60%
time on Keyword Research when switching to an AI workflow
+40%
conversion with AI-based Lead Qualification workflow
+35%
engagement with Dynamic Content Generation and personalisation
81%
of market leaders are piloting agentic systems in marketing (Gartner, 2025)
Part C of the course establishes the language for making automation decisions. The full AI agent implementation cycle for the marketing function is covered in the advanced module — available after completing the base course.
The course teaches principles, not tools — but you gain hands-on experience with a current AI stack for marketing.
GPT
OpenAI
Text generation, analysis, help structuring tasks.
Text AI
Gemini
Google
Multimodal AI, research, content creation with web search.
Text + Image
Perplexity
Perplexity AI
AI search with sources. Preferred for research with fact-checking.
Research
Claude
Anthropic
Low bias, natural tone, long context. Optimal for marketing copy.
Text AI
Kimi
Moonshot AI
Long context up to 200k tokens. Analysing large documents and reports.
Long Context
DeepSeek
DeepSeek
Reasoning model for complex analytical and strategic tasks.
Reasoning
GLM
Zhipu AI
Multilingual model for coding and logical reasoning.
Multilingual
Qwen
Alibaba
Multimodal AI with mathematical and analytical reasoning.
Multimodal
DALL-E
OpenAI
Image generation for moodboards, concepts and visual communications.
Image AI
Veo 3
Google
Video generation. Video content for campaigns and product demos.
Video AI
Kling
Kuaishou
Video generation and editing. Realistic video materials for marketing.
Video AI
Curriculum
27 hours. 15 modules. Every module delivers an artifact.
Structure: lectures 45% + practicum 35% + lab sessions 20%. Every module produces a verifiable result.
A
AI Fundamentals
4 modules × 3 hours. The student learns to control AI: choose tools, write prompts, verify outputs. The HITL checklist is created here and applied in every subsequent module.
Module goal
The student understands which tasks AI solves and which it doesn't, and can choose the right tool for each task without chasing trends.
Topics
Three model classes: Text AI, Image AI, Voice AI — how they work, not which tool to use
AI Toolkit: task → model class → specific tool (Perplexity, Claude, Gamma, Canva)
Where AI lies: hallucinations, fabricated statistics, dead links, template language
Lab: comparing ChatGPT / Claude / Perplexity on the same task (writing a brief)
Theory 50%Practice 50%
Artifact
Tool comparison matrix + "task → tool" map
Module goal
The student masters a prompt system that delivers predictable results on marketing tasks.
Topics
P — Position: what role AI plays
R — Request: what exactly is needed
E — Explain: what context to provide (brief, examples)
S — Style: tone and delivery
S — Structure: the expected output format
The "ask clarifying questions" trick — reduces hallucinations
Prompt templates for marketers: brief, competitor analysis, TOV, concept
Peer review: your neighbour checks the P.R.E.S.S. completeness of your prompt
Theory 40%Practice 60%
Artifact
Prompt library of 5 tested P.R.E.S.S. prompts tailored to your own tasks
Module goal
The student understands which competencies keep them resilient in the AI era, and has a system for verifying outputs.
Topics
5 competencies: Problem solving, Algorithmic thinking, System design, Automation, Orchestration
"Edit, don't accept" principle: AI produces "content-ish", not a finished product
HITL system: fact-checking, template language detection, adding brand nuance
Verification checklist: ≥1 fact per document, ≥1 source check, ≥1 brand tone check
Blueprint modelling: breaking a work process into a step-by-step algorithm
Theory 50%Practice 50%
Artifact
Personal HITL verification checklist + Blueprint of one work process
Module goal
Apply all Part A skills in an intensive session to produce a complete, verifiable result.
Assignments
Task 1 (30 min): 5 campaign concepts from a brief via P.R.E.S.S. → critique → improvement
Task 2 (45 min): Moodboard (Midjourney/Adobe Firefly) with justification for each visual
Task 3 (45 min): AI as "Devil's Advocate" — critiquing strategy, finding blind spots
Task 4 (60 min): Competitive analysis with a mandatory AI error found and corrected
Theory 0%Practice 100%
Artifact
"Campaign in 20 min" pack: 3 improved concepts + moodboard + competitive analysis with HITL corrections
B
AI-Enhanced Marketing
6 modules, 12 hours. Each module is a complete workflow with an artifact. Frameworks (PEST, Porter, SWOT, RFM, Censydiam, JTBD) are embedded inside workflows, not taught separately. Practised on the mktflow.online platform.
W1: PEST analysis via AI — prompt, data sources, reliability control
Communication package: ADL goals + TOV guide + content brief with variants
Student selects 3 workflows from B1–B5 and runs them on the platform
Pre-filled input templates: focus on logic, not technical configuration
API keys provided — platform access is included in the course
HITL checkmarks at every step: without verification, the task is not accepted
Theory 0%Practice 100%
Artifact
3 completed workflows on mktflow.online with HITL checkmarks
C
Agentic Marketing
5 segments, 3 hours. The student acquires the language for making automation decisions: agent taxonomy, workflow metrics, risks and controls. Full implementation is covered in the advanced module.
Definition of an AI agent: an autonomous system with a goal, reasoning, memory and tools
AI solution selection matrix for 3 scenarios (automate vs manual vs hybrid)
5 scenarios from real marketing practice
For each: select solution type (ChatGPT / Single-Task / Workflow / Swarm / Manual)
Justify by criteria: autonomy, integration, complexity, cost, risk
HITL checkpoint: what human oversight is needed in each scenario
Artifact
Completed Workflow Selection Matrix for 5 scenarios
Gift for participants
Many artifacts — it's a principle, not a bonus
Every module produces a verifiable artifact. By the end of the course you have a working toolkit in hand — not notes.
Prompt library — free when you enroll
Ready-made P.R.E.S.S. prompts for key marketing tasks: market analysis, competitive analysis, segmentation, TOV, content brief, strategic sessions. Each prompt is tested for reproducibility and comes with an adaptation guide.
Practitioners, not academic theorists. The course is built on real experience implementing AI in marketing processes.
Artem Movsesyan
Business Consultant · Business Psychologist · Co-founder of MktFlow
Artem operates at the intersection of strategic management, organizational psychology, and AI-augmented workflow design. He co-authored a university-level textbook on branding and marketing and serves as an independent director with a focus on governance and institutional development.
His professional credentials are anchored in European standards: Master Coach ICI, member of the European Mentoring and Coaching Council (EMCC), and Certified Assessor for the European Foundation for Quality Management (EFQM) Excellence Award — one of the most rigorous quality frameworks recognized across EU organizations. He has lectured at international graduate institutions and leads the Interdisciplinary Committee of the Association of Digitalisation Practitioners.
As a mentor on accelerator programmes focused on high-growth ventures, Artem applies a systems-oriented approach: diagnosing organizational constraints, designing governance layers, and embedding AI as a structured decision-support tool — not a substitute for managerial judgment.
AI StrategyMarketingBusiness PsychologyWorkflow Design
Alexander Demenko
Marketing Strategist · Co-founder of MktFlow
Alexander brings 25 years of hands-on experience in brand management, product development, communications, and category strategy — shaped across leadership roles in major FMCG organizations, a branding agency, and educational platforms.
His track record is defined by measurable outcomes: 18% brand sales growth through strategic repositioning; 61% growth following a full brand redesign; 16 new products launched with combined revenues exceeding €30M+/year; and a category scaled to €10M+ within a single fiscal year. He has also authored a course for one of Europe's largest digital learning platforms.
Alexander's approach treats brand strategy as an operational system — where portfolio logic, consumer signal interpretation, and go-to-market workflow are designed for verifiability and sustainable performance, not one-off campaign results.
Brand StrategyFMCGAI AgentsImplementation
Completion document
MktFlow certificate of course completion
After defending your personal AI Playbook you receive a certificate of completion for the "Marketing with AI" course from MktFlow. The document confirms specific competencies acquired — not simply attendance.
Confirms 7 competencies and 13 specific skills
Issued after defending your personal AI Playbook
Signed by the course instructors
Includes a list of completed workflows and artifacts
Suitable for a CV and portfolio — an AI case study applied to real tasks
Learning format
How the course is structured
Not just lectures. Every module follows a cycle: lecture → practicum → lab → artifact. Without HITL verification the assignment is not accepted.
Lectures — 45%
Methodology without filler: principle → mechanism → application criteria. Theory only to the extent needed for practice. Examples from real marketing cases.
Practicum — 35%
Working on real tasks, not textbook exercises "for the course". Exercises are tied to the full marketing cycle: analysis → segmentation → positioning → communications.
Lab sessions — 20%
Practice on the mktflow.online platform with pre-filled templates. API keys provided. Each lab session produces a specific artifact with a HITL checkmark.
Small cohort
Up to 20 people. Peer review is a required part of learning: students check each other's prompts and artifacts. This accelerates learning and gives feedback from practitioners.
HITL in every module
Human-in-the-loop is built in as a control layer — not an optional extra step. Accepting an AI output without verification, without finding and fixing an error, means the task is incomplete.
Final: AI Playbook
The final project — a personal AI Playbook: prompt library, HITL checklist, workflow map, AI decision matrix, implementation plan. Defence: 10 min + Q&A 5 min.
Duration
27 academic hours
Cohort size
Up to 20 people
Language
English
Platform
MktFlow own platform (free access included)
Assessment
Ongoing 40% + Practice 35% + AI Playbook 25%
AI experience
Not required
Corporate training
Why send your marketer on this course
An employee who has embedded AI into their daily workflow accelerates analytical and communication tasks without losing quality or becoming over-reliant on tools.
Faster analytics
Market research, competitive analysis, segmentation — tasks that used to take days are reduced to hours, while maintaining verification and output quality.
Unified prompting standard
The P.R.E.S.S. framework gives the team a shared language for working with AI: reproducible prompts instead of ad-hoc requests. Results are consistent and auditable.
Managed quality
HITL verification reduces the risk of AI errors in strategic documents. Employees know what to check and how — instead of blind trust or excessive caution.
Readiness for agentic AI
Part C builds the understanding of when an AI agent is needed and when ChatGPT is enough — reducing costs from misdirected agentic implementations.
Portfolio of artifacts
After the course the employee has 15 working artifacts: prompt library, HITL checklist, AI decision matrix. Not knowledge "in their head" — tools in use.
Corporate format
For teams of 3 or more the course can be delivered in a corporate format with case studies adapted to your industry. Contact the MktFlow team for details.
Cohort of up to 20 people. Submit an application — we will get in touch, clarify the details and find the right participation format for you. Accounts and access to AI models are provided.
P.R.E.S.S. prompt library on enrollment
Access to mktflow.online platform included
API keys provided for the duration of training
Certificate after defending your AI Playbook
Instalment payment available
Submit an application
Not sure if the course is right for you? We offer a free 15-minute consultation.Book a consultation
We don't teach a list of tools — we teach how to embed AI into the full marketing cycle: from market analysis and segmentation to positioning, CJM and campaigns. Tools are treated as part of a system, not an end in themselves.
The focus is on workflow: you follow the path "real task → marketing methodology → AI as amplifier". Tools are part of the system, not the goal. The course teaches principles — they remain valid when tools change.
You'll see how to shift from "write a text" to a sequence of steps: research, hypotheses, verification — so AI produces structural marketing insights rather than generic copy. The P.R.E.S.S. framework addresses exactly this.
After the course you'll be able to conduct market and audience analysis, segmentation, customer journey mapping, positioning, brand modelling and communication strategy foundations with AI — with verification at every step, faster and more structured than manual work.
The course is designed for practicing marketers with 3–7 years of experience: a solid marketing foundation is assumed, and we add the AI tools layer and methodology on top. Deep analytics knowledge is not required.
Yes, this is one of our core scenarios: we move from "knowledge about neural networks" to specific working scenarios and standards that can be implemented in daily tasks.
If you're confident in marketing but new to AI, you'll manage: we provide the AI foundation and immediately show how to connect it to the marketing tasks you already know.
27 academic hours, 15 modules in 3 parts (A: 12h, B: 12h, C: 3h). Split: lectures 45% / practicum 35% / lab sessions 20%. Exact schedule and weekly workload are confirmed at enrollment.
Core exercises are grounded in the real cycle: market analysis, segmentation, positioning, product and communication strategy. You apply AI to your own or maximally realistic cases.
The course is designed so you can apply the approaches to your own tasks. Whether working on personal projects is mandatory or optional — confirm with the instructors at enrollment.
Yes — the course includes a dedicated verification block: how to cross-check AI conclusions, compare them against data, and never hand management raw or erroneous insights. You build the HITL checklist in module A3 and apply it throughout.
We constantly return to classical marketing logic: first the task and hypothesis, then prompt design, then critical evaluation of outputs — so AI amplifies your decisions rather than replacing them.
The course targets acceleration of analysis, brief preparation, strategy drafts and supporting materials — cutting certain routine tasks several times over. Exact savings depend on your context and are individual.
The goal is a documented marketing case with AI application (research, hypotheses, decisions) you can present internally or at an interview. Plus 15 module artifacts and a personal AI Playbook. And of course our certificate!
You'll be able to demonstrate real experience applying AI to specific marketing tasks — not just "I know ChatGPT" — which translates to cases, results and a language hiring managers understand.
The practice-heavy format implies more than watching lectures. The exact format of feedback (individual, group, or only for key assignments) is confirmed with instructors — we'll tell you before enrollment.
The availability of a flexible pace, deadlines and support mechanisms (chats, reminders, extra slots) is confirmed at enrollment. We'll explain the current intake format.
Access duration and update policies are confirmed at enrollment. Given how fast the AI field moves, this is an important point we discuss individually with each participant.
Next level
Agentic Marketing: advanced module
After the base course — the advanced level: the full cycle of deploying AI agents in the marketing function. From agent system architecture to production operation with a governance framework.
Aimed at heads of marketing and those who have completed the base course and are ready to practically implement agentic workflows in their company.
