The TechEco Pathways project funded by Lux-Development, the Luxembourg Agency for Development Cooperation (LUXDEV) aims to contribute to sustainable economic growth in Kosovo by addressing critical skill gaps in the renewable energy and ICT sectors. 

GreenTech Pathways (part of the TechEco Pathways) addresses the shortage of skilled professionals in Kosovo’s renewable energy and ICT sectors. This program offers hands-on training sessions for 75 young graduates, followed by paid internships for 35 selected participants. The training curriculum integrates renewable energy technologies, digital tools, and data management systems to equip participants with industry-specific skills. Additionally, partnerships with private companies ensure students gain practical experience and build valuable networks for future employment.

This training is carried out with the support of the "Skills for sustainable jobs in Kosovo”, a project funded by the Grand Duchy of Luxembourg and implemented by the Ministry of Education, Science, Technology and Innovation, and LuxDev, the Luxembourg Development Cooperation Agency. 

• Beginners with no prior background in programming who are embarking on their first programming journey. Python is an ideal choice for those starting out due to its simplicity and readability, making it accessible for newcomers to grasp programming concepts.
• Individuals with some experience in programming languages other than Python who wish to expand their skill set by learning Python.  
• Applicants must be citizens of the Republic of Kosovo
• Applicants must be 18 years or older
• Unemployed and not in education individuals are encouraged to apply

- Variables, expressions, statements

- Data types and basic operations

- Defining and calling functions

- Parameters and return values

- Practical exercises

- if, elif, else

- Logical operators

- Decision-making exercises

- for loops

- while loops

- Loop control, nested loops, problem solving

- String operations and methods

- Real-world string manipulation tasks

- Creating and manipulating lists

- Iteration with lists

- Practical use cases

- Key-value data structures

- Dictionary methods

- Data modeling exercises

- Tuple characteristics

- When and why to use tuples

- Classes and objects

- Attributes and methods

- Simple real-world examples

• Classroom-based interactive training

• Hands-on exercises after each topic

• Group discussions and problem-solving sessions

• Continuous feedback and guidance

• Pre-test and post-test to measure learning outcomes

• Qualified Python Programming training delivered

• Pre-test and post-test conducted

• Complete training materials and exercises provided

• Final report submitted outlining participant progress and achievements

Minimum Criteria:

1. Course Attendance - 80%

2. Final Project / Exam - 20%