1. SQL Server Integration Services (SSIS)

• Introduction to SSIS: Understanding SSIS architecture, its role in ETL processes, and various data integration tasks.
• SSIS Tools and Environment: Working with SQL Server Data Tools (SSDT) (formerly Business Intelligence Development Studio or BIDS) to develop and manage SSIS packages.
• Control Flow: Designing the workflow of packages using tasks (e.g., Execute SQL Task, File System Task, Data Flow Task) and precedence constraints.
• Data Flow: Implementing the core ETL process with data flow sources (e.g., flat files, OLE DB), destinations (e.g., OLE DB, Excel), and various transformations (e.g., Aggregate, Sort, Conditional Split, Lookup).
• Variables and Expressions: Making packages dynamic and flexible using variables, parameters, and expressions.
• Debugging, Error Handling, and Logging: Implementing techniques for debugging packages, handling errors, configuring logging, and using event handlers for robust solutions.
• Deployment and Administration: Deploying packages to the SSIS Catalog (SSISDB), managing package execution, and configuring security. 

2. SQL Server Analysis Services (SSAS)

• Introduction to SSAS and Data Warehousing: Understanding the need for analytical applications, OLTP vs. OLAP concepts, and the role of data warehouses.
• Dimensional Modeling: Designing data warehouse schemas using dimensional modeling (star and snowflake schemas) and understanding facts and dimensions.
• Cube Creation and Configuration: Creating and configuring cubes and dimensions in SSAS using SSAS tools.
• Measures and Measure Groups: Working with measures (facts) and measure groups for data analysis.
• Multidimensional Expressions (MDX): Learning to write MDX queries to retrieve and manipulate data from cubes.
• Key Performance Indicators (KPIs), Actions, and Perspectives: Customizing cube functionality with KPIs, actions, perspectives, and translations.
• Tabular Models and DAX: Working with tabular models and Data Analysis Expressions (DAX) for creating calculated columns and measures.
• SSAS Administration: Implementing security, deploying and synchronizing databases, and performing backup and restore operations. 

3. SQL Server Reporting Services (SSRS)

• Introduction to SSRS and Reporting: Understanding SSRS architecture, its role in creating reports, and different report types and formats.
• Report Design with Report Designer and Report Builder: Using SSRS tools (Report Designer in SSDT and Report Builder) to create various reports.
• Data Sources and Datasets: Connecting to data sources, defining datasets, and joining multiple datasets for report creation.
• Report Layout and Formatting: Designing the layout of reports, adding tables, matrices, charts, images, and formatting with expressions.
• Parameters and Filters: Implementing parameters to create dynamic reports and using filters to restrict data in reports.
• Advanced Reporting Features: Working with advanced features like subreports, drill-down and drill-through functionality, and document maps.
• Deployment and Delivery: Deploying reports to the Report Server, configuring subscriptions, and managing report delivery options.
• SSRS Security: Securing the Reporting Services environment, assigning users to roles, and setting permissions on report items. 

4. Data warehousing concepts

• Introduction to Data Warehousing: Understanding the purpose of data warehouses and their role in Business Intelligence.
• Data Warehouse Architecture: Exploring concepts like OLTP and OLAP, ETL processes, and the differences between data warehouses and data marts.
• Dimensional Modeling: Designing dimensions and fact tables, understanding granularity, and working with slowly changing dimensions. 

5. Other topics

• Power BI Integration: Integrating Power BI with MSBI for advanced data visualization and analysis.
• Real-World Projects and Case Studies: Applying MSBI concepts to practical scenarios and building end-to-end BI solutions.