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This course is necessitated by the convergence of artificial intelligence and the media industry. It will outline how AI tools are transforming content creation, distribution, and audience engagement. It will begin with exploring foundational AI concepts such as machine learning, natural language processing, and computer vision, and go on to contextualizing their relevance to media. The learning outcomes will be real-world applications like automated video editing, personalized content recommendations, deepfake creation and identification, and ethical considerations surrounding AI in journalism and media industry. It will facilitate the understanding on how AI can enhance creativity, optimize workflows, and analyse audience behaviour, preparing the professionals to leverage AI tools effectively and create time and space for investing in more strategic inputs.
Note: Commencement of classes:
Students Graduated or Pursuing Graduation in Media Studies and Working Professionals
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01
Introduce fundamental AI concepts like machine learning and NLP to help participants understand their relevance and application in modern journalism and content creation.
02
Equip learners with practical skills in AI-driven tools for content generation, automation, personalization, and audience engagement across multimedia platforms.
03
Develop the ability to critically evaluate AI’s impact on newsroom workflows, productivity, and editorial decision-making processes.
04
Foster ethical awareness around AI in journalism, including misinformation, deepfakes, data privacy, and the social responsibilities of media professionals.
05
Prepare participants for emerging career roles in AI-integrated media environments, enabling them to adapt and innovate in tech-driven newsrooms.
Strategic advantages of Machine learning, Language processing, Robotics in Media
Evaluate the impact of AI on Newsroom processes
Impact on future work and resources
Roadmap for working towards AI strategic inputs to enhance productivity