AI has captured our imagination and research focus since the Dartmouth Conferences in 1956, where the field was born. Defined as programs that can sense, reason, act, and adapt, AI has been heralded as the key to a brighter future. Machine Learning (ML) involves algorithms that improve with data over time, while Deep Learning, a subset of ML, utilizes multilayered neural networks to learn from vast data. Technological advancements have enabled the processing and analysis of unprecedented data volumes, driven by the proliferation of internet-connected devices. These advancements bring us closer to creating intelligent machines seen in everyday applications like online recommendations and auto-generated photo tags. The main applications of deep learning AI include computer vision, natural language processing (NLP), and reinforcement learning.
This course, scheduled from August 19-24, 2024, covers AI, ML, Deep Learning, and data processing techniques, with case studies in geospatial data processing.
Target Participants
This course is tailored for professionals, students, and researchers in fields like civil engineering, computer science, data analytics, and geoinformatics. Ideal for those eager to explore AI, ML, and DL technologies for geospatial applications.
- Course updates and other details can be found at: IIRS Edusat News
- Participants registering through nodal centers must have their registration approved by the coordinator of the nodal centers.
- Participants can register and check their application status at: IIRS Edusat Registration.
- If the application is pending approval, participants should contact the coordinator of their respective nodal center.
To participate in this program, interested organizations, universities, departments, and institutes must identify a coordinator. The identified coordinator will register their institution online as a nodal center on the IIRS website: IIRS Coordinator Registration.
Award of Certificate
Registered through Nodal Centres: Students with at least 70% attendance will be awarded a "Course Participation Certificate."
Individual Registration: Participants who complete at least 70% of each session's hours will receive a "Course Participation Certificate," available for download on the ISRO LMS.
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