bstd.ai Courses: Complete AI Marketing Curriculum Guide (2026)

Course 1: AI Marketing Fundamentals

The starting point — maps the AI marketing landscape. I took this course first and it gave me a mental model I still use today:

• What it covers: Which AI tools do what, where they fit in a marketing workflow, how to build an AI marketing stack. Before this course, I did not know the difference between [PixVerse](/blog/pixverse-ai-review) (AI video generation) and [CapCut](/blog/capcut-ai-review) (AI video editing). After, I had a clear map of the entire landscape.
• Tools featured: CapCut, ChatGPT, Apify, Wegic AI, Vista Social, PopAi, Meshy AI, PixVerse AI
• Project: Map your current marketing workflow and identify where AI tools fit. I mapped my content production workflow and identified 5 places where AI could save time. That mapping exercise alone saved me 10+ hours/week.
• Duration: 3-4 hours of video + 2 hours of project work
• Available on: Free tier (intro version) and Pro (full version)
• My take: This is the most important course. If you only take one, take this one. It gives you the mental model for everything else.

Course 2: AI Content Workflows

Using AI for content creation at scale. This course changed how I write prompts — and the quality of my AI content jumped immediately:

• What it covers: Blog posts, ad copy, email sequences, landing pages, social captions with AI
• Tools featured: ChatGPT, Claude, Jasper, Canva AI, [CapCut](/blog/capcut-ai-review) (for video content)
• Skills: Prompt engineering for marketers, content templates, brand voice training, multi-language content
• Projects: Build a 30-day content calendar with AI, write 10 ad variations from one brief, create an email sequence with ChatGPT. I adapted the content calendar template for 3 clients — it saves me 4 hours per client per month.
• Duration: 5-6 hours of video + 4 hours of project work
• My take: The prompt engineering module alone was worth the $14.99. I learned the "context + task + format + constraint" framework. My ChatGPT outputs went from generic to specific overnight.

Before this course, my prompts were vague: "Write a blog post about AI marketing." The output was generic and needed heavy editing. After this course, my prompts are specific: "Write a 1,500-word blog post about AI marketing tools for ecommerce, targeting marketing managers at DTC brands, with 3 real tool examples, a comparison table, and a CTA to try our recommended stack. Use a conversational but professional tone." The output is 80% ready to publish.

The content calendar project is the one I use most. I built a 30-day calendar for a simulated SaaS company. I adapted that template for 3 real clients — each time, I just swap the industry, target audience, and content themes. It takes 30 minutes to customize vs 4 hours to build from scratch.

Course 3: AI Automation

Connecting AI tools into automated workflows. This is where I went from "using AI tools" to "building AI systems":

• What it covers: Building automation pipelines with Make, n8n, and Zapier
• Tools featured: Make, n8n, Zapier, [Apify](/blog/apify-review), Klaviyo, [Vista Social](/blog/vista-social-review)
• Skills: Workflow design, API connections, trigger/action logic, error handling
• Projects: Build an automated lead generation pipeline (Apify → CRM → email), automate social media scheduling (CapCut → Vista Social). The lead gen pipeline I built generated 12 qualified leads in its first month.
• Duration: 4-5 hours of video + 3 hours of project work
• My take: This course is the biggest time-saver. The automation I built in the project (Apify scrapes LinkedIn → Make formats data → personalized outreach emails) now runs daily and saves me 2 hours/week. That is 104 hours/year saved from one project.

The lead generation pipeline I built during this course was the most impactful project. Apify scrapes LinkedIn for potential clients matching my ICP → Make formats the data and enriches it with company details → ChatGPT writes personalized outreach emails → Gmail sends them. This pipeline generated 12 qualified leads in its first month — 3 of which became clients.

If you are not automating your marketing workflows, you are leaving 10-20 hours/week on the table. This course teaches you how to connect AI tools into systems that run while you sleep.

Course 4: AI Analytics

Data-driven marketing with AI. This course taught me to build dashboards that actually inform decisions:

• What it covers: Building dashboards, interpreting AI-generated insights, making data-driven decisions
• Tools featured: [PopAi](/blog/popai-review) AI Sheets, MarketXLS, Google Analytics 4, Google Search Console
• Skills: KPI selection, dashboard building, anomaly detection, ROI analysis, reporting
• Projects: Build a marketing KPI dashboard with PopAi, create a monthly report template, set up anomaly alerts. I use the KPI dashboard template for every client now — it tracks CAC, LTV, ROAS, and engagement in one view.
• Duration: 4-5 hours of video + 3 hours of project work
• My take: Before this course, my reporting was manual and inconsistent. After, I have a dashboard template that auto-populates from GA4 and ad platforms. Monthly reporting went from 4 hours to 30 minutes.

Course 5: AI Strategy

Building a complete AI marketing strategy. The capstone course — you bring everything together:

• What it covers: Budgeting, tool selection, team workflows, measuring ROI, building an AI-first marketing organization
• Tools featured: Full stack review and selection framework
• Skills: Strategy development, budget allocation, team training, ROI modeling, vendor selection
• Projects: Build a complete AI marketing strategy for a real or simulated company, including budget, tool stack, and team workflow. I used this project as a template for 2 real client strategies — both clients paid $3,000 for the strategy document.
• Duration: 3-4 hours of video + 5 hours of project work
• My take: This is the most valuable course for freelancers and agency owners. The strategy template I built became a paid deliverable — I sold it to 2 clients at $3,000 each. ROI on this course alone: 400x.

The strategy project was the capstone. I built a complete AI marketing strategy for a simulated SaaS company: tool stack selection ($300/month budget), team workflow (3-person team), 90-day implementation plan, KPI framework, and ROI projections. The instructor reviewed it and gave specific feedback.

I adapted that strategy template for 2 real clients. Both paid $3,000 for the strategy document. That is $6,000 in revenue from a project I built in a $14.99/month course. ROI: 400x on this course alone.

Recommended learning path (what I did)

Take the courses in this order — each builds on the previous:

1. Start with Fundamentals (free) Understand the landscape and where AI fits in your workflow. This is the foundation — do not skip it.
2. Take Content Workflows Learn to use ChatGPT and Claude for daily marketing content. The prompt engineering framework alone is worth the Pro subscription.
3. Take Automation Connect your AI tools into time-saving workflows. The lead gen pipeline project saved me 2 hours/week immediately.
4. Take Analytics Measure the impact of your AI marketing efforts. The KPI dashboard template is something I use for every client.
5. Finish with Strategy Build a complete AI marketing strategy. The strategy template became a $6,000 paid deliverable for me.

Total time commitment: 20-25 hours of video + 17 hours of projects = ~40 hours. I completed it in 6 weeks at 7-8 hours/week. Most learners finish in 4-6 weeks.

My schedule: 1 hour/weekday + 3 hours on weekends. Fundamentals in week 1, Content in weeks 2-3, Automation in week 4, Analytics in week 5, Strategy in week 6. By week 7, I was certified and landing clients.

Pro tip: Do not rush the projects. The videos teach concepts, but the projects build your portfolio. I spent more time on projects than videos because that is where the real learning happens. The projects are what you show clients — not the certificates.

Which course should you take first?

It depends on your goals. Here is my recommendation based on different situations:

• If you are new to AI marketing: Start with Fundamentals (free). It maps the landscape and gives you the mental model for everything else.
• If you already use ChatGPT but want better results: Take Content Workflows. The prompt engineering module will immediately improve your output quality.
• If you want to save time with automation: Take Automation. The lead gen pipeline project alone will save you 2+ hours/week.
• If you need to prove ROI to clients or bosses: Take Analytics. The KPI dashboard template will make you look like a data wizard.
• If you sell strategies to clients: Take Strategy. The strategy template became a $6,000 paid deliverable for me.
• If you want the certification: Take all 5 in order. The AI Marketing Strategist certification requires completing the full curriculum.