Full-Stack, DSA, AI Trainers
Budget: ₹37,500 – ₹75,000 INR
I’m putting together an intensive technical-skills program for an engineering college in Greater Noida and want to bring in seasoned trainers who can own three distinct tracks: Full Stack Development, Data Structures & Algorithms, and Artificial Intelligence.
For the Full Stack stream I need someone who is equally comfortable running hands-on sessions in both Python/Django and Java/Spring Boot, guiding students through end-to-end project builds and deployment best practices.
The DSA track must dig deep into core interview-level concepts, especially sorting & searching, graph algorithms, and dynamic programming, with plenty of white-board problem solving and live coding.
In the AI track, I’m looking for a practitioner who can translate theory into practical lab work—think model-building, evaluation, and fine-tuning—so students finish with portfolio-ready mini projects.
Deliverables (per track)
• A detailed session plan with learning outcomes
• Slide decks, code repositories, and lab exercises that students keep
• Weekly assessments and a final capstone or exam
• A brief performance report on each cohort at course end
Sessions will be scheduled in coordination with our academic calendar; if you already have reusable content, that’s a bonus, but everything must be customized to our syllabus and student level. Let me know which track(s) you can handle, your typical teaching approach, and the earliest slot you can start.
For the Full Stack stream I need someone who is equally comfortable running hands-on sessions in both Python/Django and Java/Spring Boot, guiding students through end-to-end project builds and deployment best practices.
The DSA track must dig deep into core interview-level concepts, especially sorting & searching, graph algorithms, and dynamic programming, with plenty of white-board problem solving and live coding.
In the AI track, I’m looking for a practitioner who can translate theory into practical lab work—think model-building, evaluation, and fine-tuning—so students finish with portfolio-ready mini projects.
Deliverables (per track)
• A detailed session plan with learning outcomes
• Slide decks, code repositories, and lab exercises that students keep
• Weekly assessments and a final capstone or exam
• A brief performance report on each cohort at course end
Sessions will be scheduled in coordination with our academic calendar; if you already have reusable content, that’s a bonus, but everything must be customized to our syllabus and student level. Let me know which track(s) you can handle, your typical teaching approach, and the earliest slot you can start.