Courses
Digital Content and Social Media Management
Master the Two Core Disciplines: Clearly distinguish between and integrate Digital Content Management (governance and quality) with Social Media Management (community and distribution) for a unified digital presence.
Navigate the Modern Landscape: Understand the forces shaping today's digital world, including algorithm-driven discovery, the dominance of short-form video, the rise of micro-communities, and the influence economy.
Set Goals That Matter: Learn to move beyond vanity metrics by defining SMART goals and mapping them to the right KPIs for brand awareness, engagement, traffic, and revenue.
Ethical AI and Bias
Understand the Roots of Bias: Explore how algorithmic bias emerges from training data, turning AI into a "digital mirror" that can perpetuate and amplify historical and societal prejudices.
Identify Disparate Impact: Learn to detect subtle forms of discrimination where AI systems, even without malicious intent, produce outcomes that systematically disadvantage marginalized groups.
Confront the Black Box Problem: Demystify complex, opaque AI models and understand why a lack of interpretability is a critical barrier to fairness, safety, and public trust.
Product Management and Digital Product Strategy
Master the "North Star": Learn to craft a powerful Product Vision and an actionable Product Strategy that aligns teams and guides every business decision.
Solve Problems that Matter: Dive deep into User-Centric Discovery, employing techniques like user interviews and journey mapping to validate core problems before a single line of code is written.
Prioritize Like a Pro: Gain hands-on experience with industry-standard prioritization frameworks (RICE, Value vs. Effort) to make tough trade-offs and focus resources on high-impact initiatives.
UX Research course
Course Modules
Module 1: Usability & User Behavior
Usability Evaluation Methods: Heuristic Evaluation, Usability Testing (Lab/Remote), Cognitive Walkthroughs, and Think-Aloud Protocols.
Key Usability Metrics: Learnability, Efficiency, Memorability, Error Rate, and Satisfaction (e.g., SUS Score).
Understanding User Behavior: Information Architecture (IA), Clickstream Analysis, Eye-Tracking, Mental Models, Task Completion, and Abandonment Rates.
AI Research and Management
Course Modules
Module 1: Generative AI and Large Language Models (LLMs)
Research Focus: Architectural innovations beyond the Transformer (State Space Models, Mixture-of-Experts), mitigating hallucinations (RAG), and advancing reasoning & multi-modal capabilities.
Management Focus: Strategies for fine-tuning models for business applications, managing API and infrastructure costs, and establishing governance for safe and ethical use.
Accounting 101
Project Management
Scrum Master
- 1
- 2