One of the specific objectives of LAMBDA (Learning, Applying, Multiplying Big Data Analytics) project is developing learning materials. In the last two years project partners developed a series of learning material which is made available at the LAMBDA portal, see https://project-lambda.org/Knowledge-repository/Lectures. 

This deliverable provides a summary of the work carried out in the WP3 Task 3.2 'Train the Trainer' Lectures. It gives an overview of the different types of learning materials, such as the book - Knowledge Graphs and Big Data Processing, LNCS 12072, 2020, and learning lectures (38 lectures, 5 from invited external experts) that have been created for Big Data Analytics summer schools and other events. The lectures are divided into eight main modules: Artificial Intelligence (4), Survey (3), Foundations (3), Enterprise Knowledge Graphs (5, 1 external), Semantic Big Data Architectures (5), Big Data and Knowledge Graphs Tools (4), Smart Data Analytics (5), and Case Studies (9, 4 externals).