The world of IT products is moving at breakneck speed. Just yesterday, a Product Manager could rely on intuition and basic metrics, but today—data, hypotheses, and unit economics require a systematic approach. But how do you stay on the cutting edge when technology updates every six months? The answer lies in the synthesis of classic product management, growth mindset, and artificial intelligence. The Product Management & Growth course on the ASI Biont platform is not just a set of lectures. It's a new learning format where AI helps master complex concepts faster and deeper.
Today, in June 2026, the market demands that PMs not only know how to set OKRs and calculate LTV. You need to understand how machine learning impacts strategy, how to automate A/B tests, and how growth hacking transforms from an art into a science. In this article, we'll break down why learning with AI is becoming the standard and how it helps level up product manager skills.
AI as Your Personal Mentor in Product Management
Traditional learning often suffers from two problems: theory detached from reality and a lack of feedback. ASI Biont solves this with AI-generated content. Imagine: you're studying the topic "Unit Economics for IT Products." Instead of a static PDF, AI dynamically selects examples tailored to your niche—whether it's EdTech, FinTech, or SaaS. You don't just read a formula; you immediately see how CAC changes when Retention Rate shifts.
How it works in practice:
- AI analyzes your progress and focuses on deepening weak areas.
- Materials on Product Management & Growth are generated in real-time, considering current trends (e.g., integrating AI features into a product).
- You get not just knowledge, but ready-to-use templates: checklists for launching growth experiments, dashboards for metrics.
Strategy, Metrics, and OKRs: What a Modern Course Teaches
The "Product Management & Growth" course on ASI Biont is built around three pillars relevant to any IT product in 2026:
1. Data-Driven Growth Hacking
Growth management isn't about "explosive growth at any cost." It's about systematic experiments. During the training, you'll break down how AI helps prioritize hypotheses. For example, instead of guessing which acquisition channel will work, the algorithm analyzes historical competitor and market data, suggesting the top 3 options for testing.
2. Unit Economics and Product Metrics
Concepts like LTV, CAC, Churn Rate are the basics. But a modern PM must be able to build models that predict user behavior. In the course, you'll learn to:
- Conduct cohort analysis without Excel (using AI tools).
- Calculate Unit Economics for freemium models.
- Tie OKRs to financial indicators, not just "increase DAU."
3. Product Strategy in the AI Era
How to use neural networks to improve UX? How to stay focused when everyone wants to add an "AI feature"? Product management today is a balance between innovation and user value. The course teaches strategic thinking: how to determine when AI is a solution and when it's hype.
Why Text Format with AI Is More Effective Than Video
Contrary to stereotypes, text-based learning with AI-generated lessons offers several advantages:
| Format | Learning Speed | Flexibility | Depth of Customization |
|---|---|---|---|
| Video | Medium (0.75x-1.5x) | Low | Zero |
| Text (AI) | High (speed reading) | High (anytime) | Maximum (tailored to your level) |
You can read a module in 15 minutes and immediately apply the knowledge at work. AI adjusts the complexity: a beginner gets explanations of basic terms (e.g., "what is Activation"), while an experienced PM gets advanced cases on funnel optimization.
Real-World Example: How AI Helps Learning
Imagine you're working on a mobile app. You need to reduce Churn Rate by 20%. In a traditional course, you'd get general theory: "improve onboarding." In the Product Management & Growth course
Comments