
Learn the basic concepts required to work with AI appropriately and following ethical and regulatory guidelines. Also check the course handout available as supplementary material.
Leverage large language models such as ChatGPT and Gemini to craft educational content, run literature reviews with Vancouver-style citations, and generate visual aids for public health topics.
Learn to create and edit AI-generated images with prompts across models, manage credits, upscale and animate outputs, and export ready visuals for academic presentations and social media.
Learn to create and edit videos with AI platforms, adding glowing amber and fire effects, animating images, and producing cinematic scenes in 1080p with prompts and model choices.
Master a step-by-step tutorial to create an ai video for social media, using capwing for clone effects, ai prompts for fire and ice, and garage band music.
Learn to edit with a video editor by creating split-screen scenes of two videos and muting one track. Import multiple videos, add a soundtrack, and insert images or logos.
Experiment with AI personas and automated subtitles in Kapwing, creating custom voices and syncing lips on export while noting ethical and regulatory guidelines.
This course contains the use of Artificial Intelligence.
This is a complete course for beginners who are new to the use of AI to create or improve their educational materials and knowledge transfer via social medial platforms. Among the main types of materials covered are text summaries, prompt creation (good prompts), images and videos with some basic cool effects, as well as audio voiceovers.
If you are struggling preparing your slide presentations and educational materials, or want to improve your materials to transfer knowledge on social media platforms, and you want to start learning with the correct ethical and regulatory guidelines, then this course is definitely for you.
Therefore, this course provides a systematic examination of contemporary artificial intelligence platforms used for the generation, enhancement, and optimization of images and videos. It introduces foundational concepts in AI and machine learning emphasizing their relevance to visual media processing. The curriculum integrates theoretical principles with applied methodologies, enabling learners to evaluate model performance, manage dataset quality, and implement reproducible workflows. Ethical considerations—such as bias mitigation, transparency, and responsible deployment—are critically addressed. Students gain proficiency in leveraging AI-driven tools to support scientific visualization, educational content development, and basic multimedia production. By the end of the course, participants will be equipped to design, assess, and refine basic AI-assisted visual outputs.