Durationkeyboard_arrow_down
The programme is available in two duration modes:
1 month (Fast-track mode)
2 months (Standard mode)
Course Delivery keyboard_arrow_down

Online

Entry Requirementskeyboard_arrow_down

One of the following:

Course Contentkeyboard_arrow_down

The Certificate in AI in Wildlife Conservation Monitoring offers a comprehensive curriculum designed to equip participants with the knowledge and skills needed to leverage AI technologies for effective wildlife monitoring and conservation. Here are the key highlights of the program:

  1. Introduction to Wildlife Conservation Monitoring: Explore the principles and methods of wildlife monitoring, understand the importance of conservation data, and learn about the role of AI in enhancing monitoring efforts.

  2. Remote Sensing and GIS Applications: Gain proficiency in remote sensing techniques, spatial analysis, and GIS applications for mapping and monitoring wildlife habitats and biodiversity hotspots.

  3. Data Collection and Analysis: Learn advanced techniques for data collection, processing, and analysis, including camera trapping, acoustic monitoring, and statistical modeling of wildlife populations.

  4. AI Algorithms for Wildlife Monitoring: Dive into the world of AI algorithms, machine learning, and computer vision technologies used to detect, classify, and track wildlife species from diverse data sources.

  5. Habitat Modeling and Conservation Planning: Understand the principles of habitat modeling and species distribution modeling, and learn how to apply AI techniques to assess habitat suitability and prioritize conservation interventions.

  6. Ethical and Legal Considerations: Explore the ethical, legal, and social implications of AI-driven wildlife monitoring, and learn best practices for responsible data management and conservation decision-making.

Throughout the program, participants engage in hands-on projects, case studies, and interactive discussions led by industry experts and conservation practitioners. By the end of the course, participants emerge as proficient wildlife conservationists equipped to address pressing conservation challenges using AI technologies. Join us in the Certificate in AI in Wildlife Conservation Monitoring and become a catalyst for positive change in wildlife conservation worldwide.

Assessment keyboard_arrow_down

The assessment is done via submission of assignment. There are no written exams.

Course fee keyboard_arrow_down
The fee for the programme is as follows:

1 month (Fast-track mode) - £140


2 months (Standard mode) - £90
Payment planskeyboard_arrow_down

Please find below available fee payment plans:

1 month (Fast-track mode) - £140


2 months (Standard mode) - £90


Accreditationkeyboard_arrow_down

Please Note:-

    Stanmore School of Business