My online learning cohort needs steady guidance across several Computer Science pillars at the intermediate level. The immediate focus is on: • Programming languages (think Python, Java, C++, or similar) • Data Structures & Algorithms • Database Management Systems (SQL-based and NoSQL fundamentals) • Cyber Security concepts • Machine Learning and wider AI foundations Each tutor session should blend theory with hands-on practice, culminating in short problem sets or mini projects that reinforce the week’s material. I’ll supply the virtual classroom platform; you bring clear explanations, illustrative code snippets, and prompt feedback on student submissions. Deliverables 1. A brief session outline for approval before each class. 2. Live or recorded instruction (60–90 minutes per topic). 3. Two graded exercises per session with solution walkthroughs. 4. A concise progress note after every fourth meeting highlighting strengths and next steps. Punctuality, conversational English, and familiarity with common tools—Git/GitHub, Jupyter, VS Code, MySQL or PostgreSQL, plus a mainstream ML library such as scikit-learn or TensorFlow—will keep lessons smooth. If this aligns with your expertise, let’s schedule a first topic and timeline.