AI Course Video Presenter
Budget: ₹12,500 – ₹37,500 INR
I need a confident on-camera instructor who can record a complete set of live-action, classroom-style videos for our upcoming AI training programmes. Each module should feel as though the learner is seated in a real lecture: clear explanations at a whiteboard or digital board, seamless transitions to screen-share demonstrations, and practical walk-throughs of code where appropriate.
Scope
• Introduction to AI concepts – history, terminology, ethics, basic math refresh.
• Advanced machine learning techniques – supervised/unsupervised methods, deep learning, model evaluation, hyper-parameter tuning.
• Practical AI applications – small end-to-end projects that show theory in production, ideally with Python, Jupyter, TensorFlow/PyTorch and relevant datasets.
What I will supply
– High-level syllabus with learning objectives.
– Branding guidelines and lower-third templates.
– Access to any datasets or notebooks you may require.
What you will deliver
1. Professionally shot HD recordings (1080p or higher) in .mp4.
2. Clean audio, good lighting and steady framing.
3. Edited files ready for upload to our LMS, each section broken into bite-sized lessons (10–15 min).
4. Source slide deck / code notebooks used on screen.
5. One short trailer (≤60 sec) to promote the course.
Acceptance criteria
• Content accuracy: explanations align with current industry standards.
• Engagement: dynamic delivery, practical examples, and occasional quizzes or prompts.
• File structure follows our naming convention; total runtime ≈6–8 hours across the full course.
Let me know your experience teaching AI, the equipment you shoot with, and a link to a past lecture or tutorial so I can gauge your presentation style. Looking forward to adding a compelling human touch to our AI curriculum together.
Scope
• Introduction to AI concepts – history, terminology, ethics, basic math refresh.
• Advanced machine learning techniques – supervised/unsupervised methods, deep learning, model evaluation, hyper-parameter tuning.
• Practical AI applications – small end-to-end projects that show theory in production, ideally with Python, Jupyter, TensorFlow/PyTorch and relevant datasets.
What I will supply
– High-level syllabus with learning objectives.
– Branding guidelines and lower-third templates.
– Access to any datasets or notebooks you may require.
What you will deliver
1. Professionally shot HD recordings (1080p or higher) in .mp4.
2. Clean audio, good lighting and steady framing.
3. Edited files ready for upload to our LMS, each section broken into bite-sized lessons (10–15 min).
4. Source slide deck / code notebooks used on screen.
5. One short trailer (≤60 sec) to promote the course.
Acceptance criteria
• Content accuracy: explanations align with current industry standards.
• Engagement: dynamic delivery, practical examples, and occasional quizzes or prompts.
• File structure follows our naming convention; total runtime ≈6–8 hours across the full course.
Let me know your experience teaching AI, the equipment you shoot with, and a link to a past lecture or tutorial so I can gauge your presentation style. Looking forward to adding a compelling human touch to our AI curriculum together.