EdTech Course Creators for Engineering Education
Budget / Salary₹37,500–75,000
TypeFreelance project
LocationRemote
Posted1 hour ago
I am the founder of an EdTech startup building a Learning Management System (LMS) for engineering colleges. I am looking for an experienced instructor/content creator or training team to create 4 complete, professional, college-ready courses that will be hosted and streamed directly on our LMS. The courses are intended for engineering/CSE students and should be comprehensive enough to be offered as structured learning programs rather than short tutorial series.
The four courses are DSA with Python, Artificial Intelligence, Data Science, and System Design.
The DSA course should be approximately 50–60 hours and should start from the basics of Python, progressing through Python OOP and then into complete Data Structures and Algorithms. It should cover the major DSA concepts and problem-solving patterns expected from engineering students preparing for placements and technical interviews. Python should be the only programming language used for this course.
The Artificial Intelligence course should be approximately 25–35 hours and should provide students with a practical foundation in AI/ML. It should cover the necessary mathematics behind machine learning, fundamental ML concepts and algorithms, and practical implementation using TensorFlow. The goal is for students to understand the underlying concepts while also being able to build and train practical ML/deep-learning models.
The Data Science course should also be approximately 25–35 hours and should be highly practical. It should teach students how to work with real-world datasets using NumPy, Pandas and Matplotlib, along with other relevant tools and concepts required for a complete introductory Data Science course. Topics should include data cleaning, exploratory data analysis, visualization, statistics/data analysis and practical projects where students work through the complete process of analyzing a dataset and deriving insights.
The System Design course should be approximately 30–40 hours and should be a complete standalone course. It should cover system-design fundamentals, scalability, availability, databases, caching, load balancing, APIs, messaging systems, distributed systems, database scaling, reliability and other important concepts. It should also include multiple real-world system-design case studies. Clean and professional architecture diagrams are extremely important for this course; the lessons should visually demonstrate system architecture and data flow using neat, readable diagrams rather than informal sketches.
All four courses should be structured into modules, topics and individual video lessons. Alongside the videos, I expect relevant course materials such as coding exercises, MCQs/quizzes, practice problems and projects. For problem-based topics, solutions/explanations must be provided after each relevant set of tasks, so students can attempt the problems first and then review the solution.
Very Important — Video Hosting & Rights
The videos must be delivered to me as files/assets that I can host and stream directly through my own LMS. Students will access the courses through my platform and should not be redirected to YouTube, Udemy, the instructor's website, Zoom, or another third-party learning platform to watch the videos. This is a non-negotiable requirement.
The project should therefore include the appropriate commercial rights/licensing required for me to host and stream the finished courses to students through my LMS and deploy them to institutional/college customers. I am open to discussing either a content-production arrangement, a fixed licensing arrangement, or another mutually agreed model, provided the necessary rights for LMS-based institutional distribution are included.
I will provide the final curriculum/module structure and branding requirements after selecting the instructor/team. Applicants should ideally have previous experience creating structured technical courses for engineering students, online learning platforms, corporate training or similar audiences. Please include examples of previous courses/content you have created, your experience with the subjects above, your proposed timeline, and your expected pricing for creating/licensing the four courses.
The four courses are DSA with Python, Artificial Intelligence, Data Science, and System Design.
The DSA course should be approximately 50–60 hours and should start from the basics of Python, progressing through Python OOP and then into complete Data Structures and Algorithms. It should cover the major DSA concepts and problem-solving patterns expected from engineering students preparing for placements and technical interviews. Python should be the only programming language used for this course.
The Artificial Intelligence course should be approximately 25–35 hours and should provide students with a practical foundation in AI/ML. It should cover the necessary mathematics behind machine learning, fundamental ML concepts and algorithms, and practical implementation using TensorFlow. The goal is for students to understand the underlying concepts while also being able to build and train practical ML/deep-learning models.
The Data Science course should also be approximately 25–35 hours and should be highly practical. It should teach students how to work with real-world datasets using NumPy, Pandas and Matplotlib, along with other relevant tools and concepts required for a complete introductory Data Science course. Topics should include data cleaning, exploratory data analysis, visualization, statistics/data analysis and practical projects where students work through the complete process of analyzing a dataset and deriving insights.
The System Design course should be approximately 30–40 hours and should be a complete standalone course. It should cover system-design fundamentals, scalability, availability, databases, caching, load balancing, APIs, messaging systems, distributed systems, database scaling, reliability and other important concepts. It should also include multiple real-world system-design case studies. Clean and professional architecture diagrams are extremely important for this course; the lessons should visually demonstrate system architecture and data flow using neat, readable diagrams rather than informal sketches.
All four courses should be structured into modules, topics and individual video lessons. Alongside the videos, I expect relevant course materials such as coding exercises, MCQs/quizzes, practice problems and projects. For problem-based topics, solutions/explanations must be provided after each relevant set of tasks, so students can attempt the problems first and then review the solution.
Very Important — Video Hosting & Rights
The videos must be delivered to me as files/assets that I can host and stream directly through my own LMS. Students will access the courses through my platform and should not be redirected to YouTube, Udemy, the instructor's website, Zoom, or another third-party learning platform to watch the videos. This is a non-negotiable requirement.
The project should therefore include the appropriate commercial rights/licensing required for me to host and stream the finished courses to students through my LMS and deploy them to institutional/college customers. I am open to discussing either a content-production arrangement, a fixed licensing arrangement, or another mutually agreed model, provided the necessary rights for LMS-based institutional distribution are included.
I will provide the final curriculum/module structure and branding requirements after selecting the instructor/team. Applicants should ideally have previous experience creating structured technical courses for engineering students, online learning platforms, corporate training or similar audiences. Please include examples of previous courses/content you have created, your experience with the subjects above, your proposed timeline, and your expected pricing for creating/licensing the four courses.
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