EQF-Aligned Micro-Credentials at ANNU

Energy Strategy and Policy Systems

This course provides a comprehensive and practice-oriented introduction to the design, analysis, and implementation of modern energy strategies and policy systems. It enables learners to understand the evolving global and regional energy landscape, with particular emphasis on renewable energy and energy efficiency.

Participants explore the structure and dynamics of energy systems, as well as the role of governments and institutions in shaping energy markets and driving sustainable transitions. The course covers key areas including energy security, decarbonization pathways, climate finance, and the integration of renewable energy into national and regional frameworks.

Through applied learning methods such as case studies, data analysis, and interactive discussions, learners develop the ability to assess policy impacts, interpret energy strategies, and formulate evidence-based recommendations. The course also addresses practical aspects of implementation, including stakeholder engagement and financing mechanisms.

Designed for intermediate to advanced learners, this course is suitable for students, engineers, and professionals seeking to contribute to sustainable and resilient energy systems.

Economics of Energy

This course offers a comprehensive understanding of the economic principles governing energy systems, including production, consumption, pricing, and regulation. It examines the interactions between energy markets, public policy, technological innovation, and environmental sustainability.

Learners explore key topics such as supply and demand dynamics, market structures, pricing mechanisms, investment analysis, and energy policy frameworks. The course also addresses global challenges, including energy access, energy poverty, climate change mitigation, and the transition toward low-carbon and renewable energy systems.

By combining economic theory with practical applications, the course equips participants with analytical tools to evaluate energy systems and policies across diverse contexts. It also highlights emerging trends such as digitalization, hydrogen economies, and net-zero strategies.

This course is designed for intermediate to advanced learners interested in energy economics, policy analysis, and sustainable development.

Solar PV Installations

This course provides foundational and intermediate-level knowledge and practical skills for the planning, installation, inspection, and maintenance of solar photovoltaic (PV) systems. It prepares learners to engage effectively in the rapidly expanding solar energy sector.

Participants are introduced to the principles of solar energy conversion and the structure of PV systems, including grid-connected, off-grid, and hybrid configurations. The course covers essential electrical concepts, system components, basic design considerations, installation procedures, and operation and maintenance practices.

A strong emphasis is placed on safety standards, system layout, and the interpretation of electrical diagrams, in line with relevant international guidelines. Learners also gain introductory experience in system sizing, site assessment, and performance monitoring.

Through a combination of theoretical instruction and applied learning activities, the course develops both conceptual understanding and practical awareness. It is particularly suitable for students, technicians, and early-career professionals seeking entry into the renewable energy field.

Artificial Intelligence in Renewable Energy Systems

This course introduces the application of Artificial Intelligence (AI) in renewable energy systems, highlighting its role in improving efficiency, reliability, and sustainability across solar, wind, hydro, and smart grid technologies.

Learners gain foundational knowledge of machine learning concepts and energy data analysis, alongside practical insights into real-world applications such as energy forecasting, predictive maintenance, and smart grid optimization. The course also explores the economic, environmental, and ethical dimensions of AI deployment in the energy sector.

Through applied exercises and project-based learning, participants develop analytical and problem-solving skills relevant to smart energy systems. The course culminates in a capstone project focused on designing AI-driven solutions for real energy challenges.

This course is suitable for learners interested in the intersection of digital technologies and sustainable energy systems.

Smart Energy Systems

This course provides an in-depth overview of modern energy systems that integrate advanced technologies with sustainable practices. It focuses on the development and operation of smart grids and the role of digitalization in enhancing energy efficiency, reliability, and environmental performance.

Participants explore the full energy value chain, including generation, transmission, distribution, and storage, with a focus on integrating renewable energy sources such as solar and wind. The course also examines the application of technologies such as the Internet of Things (IoT), artificial intelligence, and data analytics in optimizing system performance.

Through case studies and applied learning approaches, learners develop the skills needed to analyze energy systems, support smart solutions, and contribute to the transition toward sustainable energy infrastructures.

The course is designed for students, professionals, and stakeholders interested in the future of smart and