Module 4: AI & the Future
The Future of Artificial Intelligence – Human and Machine Together
Module 3: Machine Learning Basics
An Introduction to Machine Learning (ML)
Module 2: Benefits, Challenges & Risks
Examples of AI: Benefits, Challenges and Risks
Module 1: Introduction to AI
Artificial and Human Intelligence: An Introduction and History
Module 6: Integrations and Benefits
Aligning DPMM® with Agile, DevOps, and governance frameworks Leveraging EXIN-aligned
Module 5: DPMM® Processes
Steering and monitoring project progress Planning deliverables and timelines Coordinating
Module 4: Quality, Issue & Risk Management
Ensuring quality and defining success criteria Managing issues and clarifications
Module 3: Planning Practices
Implementing component-based planning Integrating traditional and agile delivery approaches
Module 2: Roles and Organization
Defining project roles and stakeholder responsibilities Establishing team structures and
Module 1: Foundations of DPMM®
Introduction to project management and the DPMM® method Understanding project
Module 5: Evaluation & Strategy
Business cases: cost, ROI, TCO Performance evaluation and service provider
Module 4: Implementing & Managing Cloud
Building local/private cloud networks Supporting service usage and applying standards
Module 3: Security, Identity & Compliance
Cloud security risks and mitigations Identity and privacy management in
Module 2: Cloud Usage & Access
Methods for accessing cloud services Mobility and thin-client/cloud access
Module 1: Cloud Fundamentals
The principles of cloud computing Evolution and architectures of cloud
Module 4: Advanced Application & Operationalization
Translating strategic direction into a successful operating environment
Module 3: Applying VeriSM™ in Practice
Applying VeriSM™ (creating/adapting Management Mesh, managing the service lifecycle)
Module 2: Governance & Strategy
Governance and strategy
Module 1: The Digital Context & Leadership
A digital world Digital leadership and structure
Module 6: Applying VeriSM™ in Real-World Contexts
Adapting the VeriSM™ Model Digital Transformation Impacts
Module 5: Emerging Technologies in Service Management
Cloud and Virtualization Automation Big Data, IoT, Mobile, BYOD
Module 4: Management Mesh & Governance
Service Management Principles & the Management Mesh Organizational Governance
Module 3: Progressive Management Practices
Agile DevOps SIAM™ Lean Shift Left Customer Experience (CX/UX) Continuous
Module 2: Understanding the VeriSM™ Model
The VeriSM™ Model Getting Started (initial rollout)
Module 1: Foundations of Service Management
The Service Organization Service Culture People and Organizational Structure
Module 5: Adopting Agile
Develop transition plans incorporating essential project management activities. Identify key
Module 4: Complex Projects
Scale Agile projects using Product Backlogs in larger environments. Implement
Module 3: Agile Estimating, Planning, Monitoring, and Control
Write and maintain Product and Sprint Backlogs. Implement iterative planning:
Module 2: Scrum Master Role
Define the responsibilities and commitments of a Scrum Master. Identify
Module 1: Advanced Agile Way of Thinking
Explain the Agile way of thinking and its benefits. Understand
Module 4: CI/CD Integration & Multi-Tenancy
Integrating CI with CD using Tekton Achieving Multi-Tenancy with Flux
Module 3: Advanced Deployment Techniques
Kustomizing Kubernetes Deployments Integrating with Helm Monitoring and Alerting
Module 2: Kubernetes & GitOps Fundamentals
Kubernetes Essentials for a GitOps Practitioner Essentials of Git Workflows
Module 1: Introduction & Setup
Course Introduction Introduction to Flux CD Setting up a Learning
Module 4: Security and Best Practices
Runtime and Containers Security
Module 3: Networking and Storage
Container Networking Container Storage
Module 2: Container Basics & Operations
Container Standards and Runtimes Image Operations Container Operations Building Container
Module 1: Introduction & Virtualization Concepts
Course Introduction Virtualization Fundamentals Virtualization Mechanisms
Module 5: Security Verification & Logging
Domain Review
Module 4: Securing Workloads
Workload Considerations Issue Detection
Module 3: Network Safeguards
Networking
Module 2: Cluster Provisioning & API Hardening
Installing the Cluster Securing the kube-apiserver
Module 1: Foundational Security Concepts
Course Introduction Cloud Security Overview Preparing to Install
Module 7: Testing Best Practices
Writing Unit Tests
Module 6: Process Management
Process & Operating System Creating Child Processes
Module 5: Streams and File System
Working with Streams Interacting with the File System
Module 4: Error Handling and Buffers
Handling Errors Using Buffers
Module 3: Modules, Async Control & Events
Node’s Module Systems Asynchronous Control Flow Node’s Event System
Module 2: Debugging and Core JavaScript
Debugging & Diagnostics Key JavaScript Concepts Packages & Dependencies
Module 1: Getting Started with Node.js
Course Introduction Setting Up The Node Binary
Module 5: Site Reliability Engineering and Kubernetes
SRE and Deploying a Scalable Application to Kubernetes SRE. GitOps
Module 4: Multi-Service Deployment and Code Analysis
Launching a Multi-Service Application with Docker Compose Automated Code Analysis
Module 3: Jenkins Pipelines and Docker Integration
GitHub Branch Policies & Pipeline as Code with Jenkinsfile Using
Module 2: Containers, Git, and Jenkins Basics
Basics of Container Operations with Docker Version Control with Git
Module 1: Introduction to CI/CD and Learning Environment
Introduction What and Why of CI/CD Setup: Exploring and Creating
Module 7: Integrations, Debugging, and Kubernetes
Transitioning From and Integration with Other Monitoring Systems Monitoring and
Module 6: Scaling and Storage
Scaling Prometheus Deployments Local Storage Remote Storage Integrations
Module 5: Alerts and High Availability
Alerting Making Prometheus Highly Available Recording Rules
Module 4: Data Flow and Label Management
Relabeling Service Discovery Blackbox Monitoring Pushing Data
Module 3: Container and Code Monitoring
Monitoring Container Metrics Instrumenting Code Building Exporters Advanced Querying
Module 2: Setup and Basic Monitoring
Installing and Setting Up Prometheus Basic Querying Dashboarding Monitoring Host
Module 1: Introduction to Observability and Prometheus
Course Introduction Introduction to Observability Introduction to Prometheus
Module 7: System Initialization, Security and Recovery
System Init: systemd History and Customization Backup and Recovery Methods
Module 6: Networking and Access Management
Network Addresses Network Devices and Configuration LDAP Firewalls
Module 5: LVM, Kernel and Device Management
Logical Volume Management (LVM) Kernel Services and Configuration Kernel Modules
Module 4: Containers and Storage Fundamentals
Containers Overview Linux Filesystems and the VFS Disk Partitioning Filesystem
Module 3: System Monitoring and Git
GIT Fundamentals Processes Process Monitoring Memory Monitoring, Usage and Configuring
Module 2: Permissions and Software Management
File Permissions and Ownership Package Management Systems dpkg APT RPM
Module 1: Introduction and User Environment
Introduction Linux Filesystem Tree Layout User Environment User Account Management
Module 4: Exam Preparation and Review
KCNA Exam Overview Practice Questions and Scenarios Tips and Strategies
Module 3: Advanced Topics and Best Practices
Security in Cloud Native Environments Networking and Service Mesh CI/CD
Module 2: Kubernetes Fundamentals
Kubernetes Fundamentals Working with Kubernetes Cloud Native Application Delivery Cloud
Module 1: Introduction to Cloud Native Concepts
Course Introduction Cloud Native Architecture Container Orchestration
Module 4: Troubleshooting & Review
Troubleshooting and Wrap-Up
Module 3: Application Exposure & Persistence
Exposing Applications Persistent Storage in Kubernetes
Module 2: Core Application Management
Working with Kubernetes Objects Configuring Applications
Module 1: Getting Started with Kubernetes
Course Introduction Kubernetes Architecture Installing Kubernetes
Module 5: Security and Cluster Maintenance
Role-Based Access Control (RBAC) and service accounts Cluster upgrades
Module 4: Scheduling and Monitoring
Affinity/anti-affinity rules and taints/tolerations Probes (liveness/readiness) and resource limits
Module 3: Networking and Storage
Service types and Ingress controllers Network policies and DNS
Module 2: Configuration and Workloads
Pod lifecycle and deployment strategies Labels, selectors, and namespaces
Module 1: Core Concepts of Kubernetes
Introduction to Kubernetes and container orchestration Kubernetes architecture: master
Module 5: Advanced Scrum Concepts
Explore scaling Scrum in larger, complex projects (e.g., SAFe,
Module 4: Monitoring Scrum Projects
Track progress with burndown charts and task boards. Maintain
Module 3: Scrum Planning and Estimation
Use user stories and epics to define requirements. Estimate
Module 2: Scrum Practices
Learn the three key roles: Product Owner, Scrum Master, and
Module 1: Agile Way of Thinking
Understand the origins and benefits of Agile methodologies. Recognize the
Module 9: SIAM Implementation Roadmap and Challenges
Step-by-step SIAM implementation roadmap Overcoming resistance and challenges Adapting SIAM
Module 8: Governance, Management, and Measurement
Establishing effective governance in SIAM KPIs and metrics in multi-vendor
Module 7: Practices and Processes Across SIAM Stages
SIAM practices applied in different lifecycle stages Process integration across
Module 6: Roles and Responsibilities in SIAM
Key roles in a SIAM organization Role clarity and avoiding
Module 5: Run and Improve
Operational governance and control Continual service improvement in a SIAM
Module 4: Implementation of SIAM
Transition planning and execution Integrating processes and tools across providers
Module 3: Plan and Build
Designing the SIAM model Selecting service providers Defining and designing
Module 2: Discovery and Strategy
SIAM considerations during the discovery phase Analyzing the current service
Module 1: Introduction to SIAM and Advanced Concepts
Recap of SIAM principles and terminology SIAM layers and structures
Module 4: Building Streaming Data Analytics Solutions on AWS
Build streaming analytics solutions using Amazon Kinesis and Amazon MSK
Module 3: Building Batch Data Analytics Solutions on AWS
Explore batch processing using Amazon EMR and AWS Glue, emphasizing
Module 2: Building Data Analytics Solutions Using Amazon Redshift
Focus on building analytics solutions with Amazon Redshift, covering data
Module 1: Building Data Lakes on AWS
Learn to build operational data lakes that support structured and
Module 8: Course Wrap-up
Next steps and additional resources Course summary
Module 7: Integrating Generative AI into the Development Lifecycle
Introduction Hands-on Lab: Capstone – Creating a Project Plan with
Module 6: Implementing Generative AI Projects
Introduction – Generative AI application Define a use case Select
Module 5: Security, Governance, and Compliance
Security overview Adverse prompts Generative AI security services Governance Compliance
Module 4: Responsible AI Principles and Considerations
Introduction to responsible AI Core dimensions of responsible AI Generative
Module 3: Essentials of Prompt Engineering
Introduction to prompt engineering Prompt design best practices Advanced prompting
Module 2: Exploring Generative AI Use Cases
Identify suitable use cases Generative AI applications and use cases
Module 1: Introducing Generative AI
Definition and foundations AWS generative AI services Demo: Generative AI
Comprehensive review
Review tasks from Red Hat OpenStack Platform Administration II: Day
Troubleshoot operations
Describe and practice tools and methods for diagnosing and troubleshooting
Automate cloud applications
Implement and deploy complex and scalable applications using automation technologies.
Monitor Red Hat OpenStack Platform operations
Describe the monitoring framework and architecture to gather, store, and
Manage compute node operations
Describe the architecture and management processes for normal and hyperconverged
Manage networking
Create, manage, and troubleshoot data center and virtual network infrastructure.
Manage storage
Describe and manage storage architecture and components, emphasizing Red Hat
Manage application deployment resources
Create and manage common, shared deployment resources including custom images,
Manage user security
Configure secure user privileges using domain-based identity management, scoped roles,
Manage infrastructure security
Protect the Red Hat OpenStack Platform infrastructure by securing service
Operate the control plane
Describe and manage the critical core services of the Red
Navigate the Red Hat OpenStack Platform architecture
Describe the undercloud and overcloud architecture and service components.
Enhancing Security with RHACS
Install and configure RHACS. Manage operational security across Kubernetes clusters.
Red Hat Quay Integration
Install and configure Red Hat Quay. Integrate Quay with
Application Deployment Across Clusters
Deploy applications using RHACM with GitOps. Manage application lifecycle across
Observability and Monitoring
Install and customize RHACM observability components. Gain insights into cluster
Deploying and Managing Policies
Implement governance policies using RHACM. Ensure compliance across clusters.
Inspecting Resources Across Clusters
Navigate the RHACM web console. Configure role-based access control (RBAC).
Managing a Multicluster Kubernetes Architecture
Understand multicluster architectures and challenges. Leverage Red Hat OpenShift Platform
Module 5: Interacting Effectively with Generative Models
Prompt Engineering Fundamentals Understanding how generative models "think" What is
Module 4: Generative Model Training & Optimization
Understanding Language Models Evolution of language models Scaling laws vs
Module 3: Alibaba Cloud GenAI Offerings
Introduction to Qwen What is Qwen Model capabilities and performance
Module 2: Foundational Technologies Behind AI
Foundational Technologies Behind Today's AI Capabilities What is machine learning
Module 1: Generative AI Basics
Introduction to Generative AI Concepts What is GenAI Development history
Module 6: Cost Optimization Techniques on Alibaba Cloud
Cost Optimization Techniques on Alibaba Cloud Overview of cost management
Module 5: Automating Deployment on Alibaba Cloud
Introduction to Infrastructure as Code (IaC) and DevOps Practices Managing
Module 4: Planning for Disaster Recovery on Alibaba Cloud
Disaster Recovery and Backup on Alibaba Cloud Understanding disaster recovery
Module 3: Resource Deployment & Network Management on Alibaba Cloud
Designing and deploying scalable solutions on Alibaba Cloud Key
Module 2: Observability on Alibaba Cloud
Introduction to Observability Monitoring metrics & logging Data you should
Module 5: Securing Workloads on Alibaba Cloud
Alibaba Cloud Security Deep Dive Common threats on the cloud
Module 4: Delivering Services and Content on Alibaba Cloud
Delivering Services and Content on Alibaba Cloud Delivering services on
Module 3: Building Highly Available, Performant Cloud Architecture
Leveling up Your Core Infrastructure Highly available architecture on Alibaba
Module 2: Core Infrastructure Deep Dive
Core Compute Infrastructure Deep Dive ECS deep dive and best
Module 5: Scaling & Monitoring Alibaba Cloud Resources
Server Load Balancer Fundamentals Availability and business continuity What is
Module 4: Databases on Alibaba Cloud
ApsaraDB RDS Fundamentals Databases on the cloud RDBs and RDBMSs
Module 3: Storage on Alibaba Cloud
Object Storage Service Fundamentals Storage types on Alibaba Cloud (file,
Module 2: Compute & Networking on Alibaba Cloud
Virtual Private Cloud Fundamentals o Networking basics and terminology (IP
Module 1: Identity and Access Management on Alibaba Cloud
Resource Access Management Fundamentals Importance of access control Concept of
Course 6: Embedded Software Testing
Module 1: Introduction to Embedded Software Testing Module 2: Test
Course 5: Realtime Operating System (ARM Certified)
Module 1: Introduction to RTOS and FreeRTOS Module 2: FreeRTOS
Course 4: ARM Microcontroller Programming (ARM Certified)
Module 1: Introduction to ARM Cortex-M4 with STM32 Platform Module
Course 3: Modern C++ for Embedded Systems
Module 1: Modern C++ Fundamentals and Resource Management Module 2:
Course 2: C++ Object-Oriented Programming
Module 1: Introduction to Object-Oriented Programming Module 2: Classes and
Course 1: Embedded C Programming
Module 1: Introduction to C Programming Module 2: C Operators
Course 6: EV Powertrain Modelling and Simulation
Module 1: Introduction to EV Powertrains Module 2: Quasi-Static Powertrain
Course 5: Inverter and AC Motor Control
Module 1: Introduction to Inverters and Motor Drives Module 2:
Course 4: EV Charging System
Module 1: Introduction to EV Charging Module 2: EV Charger
Course 3: Energy Storage and Battery Management Systems
Module 1: Introduction to Energy Storage for EVs Module 2:
Course 2: Model-Based Development (MBD) for Automotive Application Development
Module 1: Introduction to MBD and MATLAB/Simulink Module 2: Simulink
Course 1: Basics of EV and HEV Technology
Module 1: Introduction to Electrified Transportation Module 2: EV and
Course 6: Adaptive AUTOSAR Integration
Module 1: Introduction to Adaptive AUTOSAR Module 2: Adaptive AUTOSAR
Course 5: AUTOSAR-Based Application Development
Module 1: Introduction to AUTOSAR and Simulink Module 2: AUTOSAR
Course 4: AUTOSAR Integration
Module 1: Introduction to AUTOSAR Architecture Module 2: AUTOSAR Runtime
Course 3: AUTOSAR Microcontroller Abstraction Layer (MCAL)
Module 1: Introduction to AUTOSAR MCAL Module 2: AUTOSAR MCAL
Course 2: In-Vehicle Networking with ARM
Module 1: Introduction to In-Vehicle Networking Module 2: Controller Area
Course 1: ASPICE and Functional Safety
Module 1: Introduction to ASPICE and Functional Safety Module 2:
Course 6: Automotive Software Verification and Validation
Module 1: Introduction to Software Verification and Validation Module 2:
Course 5: Model-Based Development (MBD) for Automotive Application Development
Module 1: Introduction to MBD and MATLAB/Simulink Module 2: Simulink
Course 4: In-Vehicle Networking with ARM
Module 1: Introduction to In-Vehicle Networking Module 2: Controller Area
Course 3: ASPICE and Functional Safety
Module 1: Introduction to ASPICE and Functional Safety Module 2:
Course 2: C++ Object-Oriented Programming for Embedded Systems
Module 1: Introduction to Object-Oriented Programming Module 2: Classes and
Course 1: Embedded C Programming
Module 1: Introduction to C Programming Module 2: C Operators
Course 6: Motion Control Algorithms for Autonomous Driving
Module 1: Introduction to Motion Control Module 2: Basic Control
Course 5: Motion Planning Algorithms for Autonomous Driving
Module 1: Introduction to Motion Planning Module 2: Path Planning
Course 4: Localization Algorithms for Autonomous Driving
Module 1: Introduction to Localization and Coordinate Systems Module 2:
Course 3: Perception Algorithms for Autonomous Driving
Module 1: Introduction to Perception for Autonomous Driving Module 2:
Course 2: End-to-End Deep Learning for Autonomous Vehicles
Module 1: Introduction to Deep Learning for Autonomous Driving Module
Course 1: Modern C++ and Python Programming
Module 1: Modern C++ Fundamentals and Resource Management Module 2:
Module 6: Operations and Support on Alibaba Cloud
Operations on Alibaba Cloud o Deploying services o Migrating to
Module 5: Fundamental Cloud Services (Part 2)
Databases on the Cloud o SQL and NoSQL o Alibaba
Module 4: Basic Cloud Architecture
Three-tier Architecture o What is a three-tier architecture? o Benefits
Module 3: Accessing & Managing Cloud Resources
Accessing Cloud Resources o Alibaba Cloud service console o Command-line
Module 2: Fundamental Cloud Services (Part 1)
Compute on the Cloud Elastic Compute Service (ECS) ECS instance
Module 1: Introduction to Alibaba Cloud & Cloud Computing
Getting to Know Alibaba Group & Alibaba Cloud Who we
Module 6 – IT Governance
Understanding compliance and security standards. Implementing governance frameworks on Alibaba
Module 5 – Migration to Alibaba Cloud
Strategies for migrating on-premises workloads. Tools and services to facilitate
Module 4 – Monitoring and Troubleshooting
Tools and techniques for monitoring Alibaba Cloud services. Debugging and
Module 3 – Networking Services
Overview of Alibaba Cloud networking services. Configuring and managing virtual
Module 2 – Object Storage Service (OSS)
Basic concepts and features of OSS. Bucket management and object
Module 1 – Elastic Compute Service (ECS)
Advantages of cloud servers. Purchasing and managing ECS instances. Data
Module 6 – Scaling & Monitoring Alibaba Cloud Resources
Server Load Balancer (SLB) fundamentals. Introduction to Auto Scaling. Basics
Module 5 – Databases on Alibaba Cloud
ApsaraDB for RDS fundamentals.
Module 4 – Storage on Alibaba Cloud
Object Storage Service (OSS) fundamentals.
Module 3 – Networking on Alibaba Cloud
Virtual Private Cloud (VPC) fundamentals.
Module 2 – Compute on Alibaba Cloud
Elastic Compute Service (ECS) fundamentals.
Module 1 – Introduction to Alibaba Cloud & Basic Cloud Security
Overview of Alibaba Cloud services. Fundamentals of cloud account security.
Module 3 – Apply
Techniques for deploying generative AI applications using Alibaba Cloud services.
Module 2 – Imagine
Understanding generative AI models, including encoder-decoders and GANs. Ethical considerations
Module 1 – Learn
Introduction to generative AI concepts and mechanisms. Fundamentals of machine
Module 9 – Exam Preparation and Practice
Reviewing key concepts and topics covered in the certification exam
Module 8 – Compliance and Best Practices
Overview of compliance standards and regulations Implementing best practices for
Module 7 – Cost Management and Optimization
Understanding pricing models for cloud services Techniques for cost optimization
Module 6 – Cloud Migration and Management
Strategies and tools for migrating applications and data to the
Module 5 – Big Data and Analytics
Introduction to big data services and data processing capabilities Exploring
Module 4 – Networking and Security
Overview of networking solutions, including virtual networks and load balancers
Module 3 – Core Cloud Services
Exploring essential services such as compute, storage, and database solutions
Module 2 – Cloud Platform Overview
Introduction to cloud platforms and global infrastructure Understanding market positioning
Module 1 – Introduction to Cloud Computing
Understanding cloud computing concepts and benefits Exploring different cloud service
Module 6 – Monitoring and Management
Implementing cloud monitoring solutions Managing resources and automating tasks Optimizing
Module 5 – Application and Big Data Services
Utilizing cloud-based application services Exploring big data solutions and analytics
Module 4 – Database Services
Working with cloud database solutions Designing high-availability database architectures Implementing
Module 3 – Networking and Security
Configuring virtual private networks and secure architectures Implementing security best
Module 2 – Compute and Storage Services
Deep dive into compute services and load balancing Utilizing storage
Module 1: Building Enterprise-grade Networks on Alibaba Cloud
Cloud Networking Deep Dive Basic networking terminology Basic connectivity on
Module 9 – Exam Preparation and Practice
Reviewing key concepts and topics covered in the certification exam
Module 8 – Compliance and Best Practices
Overview of compliance standards and regulations Implementing best practices for
Module 7 – Cost Management and Optimization
Understanding pricing models for cloud services Techniques for cost optimization
Module 6 – Cloud Migration and Management
Strategies and tools for migrating applications and data to the
Module 5 – Big Data and Analytics
Introduction to big data services and data processing capabilities Exploring
Module 4 – Networking and Security
Overview of networking solutions, including virtual networks and load balancers
Module 3 – Core Cloud Services
Exploring essential services such as compute, storage, and database solutions
Module 2 – Cloud Platform Overview
Introduction to cloud platforms and global infrastructure Understanding market positioning
Module 1 – Introduction to Cloud Computing
Understanding cloud computing concepts and benefits Exploring different cloud service
Why buy Fresh Hire Training from EdForce?
EdForce offers professionally designed training programs specifically for new hires,
What is an Entry-Level Training Program?
An entry-level training program teaches new hires the skills and
Why is Training for Fresh Recruits important?
Training for fresh recruits allows them to catch up quickly,
What is covered in New Hire Training?
New hire training usually covers role-specific skills, company policies, and
Course 6: Automotive Android Operating System
Module 1: Introduction to Android Automotive OS Module 2: Android
Course 5: Linux Kernel Internals
Module 1: Linux Kernel Architecture Module 2: Kernel Module Development
Course 4: Embedded Linux
Module 1: Introduction to Embedded Linux Module 2: Building the
Course 3: Embedded Qt Programming
Module 1: Introduction to Qt and Qt Creator Module 2:
Course 2: Modern C++ for Embedded Systems
Module 1: Modern C++ Fundamentals and Resource Management Module 2:
Course 1: C++ Object-Oriented Programming
Module 1: Introduction to Object-Oriented Programming Module 2: Classes and
Module 6: Implementation in CARLA-ROS
Integrating motion control algorithms with CARLA and ROS Publishing and
Module 5: Vehicle Dynamics and Control
Vehicle dynamics modeling for longitudinal and lateral motion Tire models
Module 4: Model Predictive Control (MPC)
Introduction to Model Predictive Control (MPC) principles Prediction model and
Module 3: Optimization Frameworks (CasADi)
Introduction to CasADi as an optimization framework Defining and solving
Module 2: Basic Control Techniques
Kinematic bicycle model and its application in control design Pure
Module 1: Introduction to Motion Control
Role of motion control in autonomous driving Longitudinal and lateral
Module 9: Security and Update Management
Security concepts and implementation in Adaptive AUTOSAR Authentication, authorization, and
Module 8: Persistency and Diagnostics
Persistency module for data storage and management Diagnostics Management for
Module 7: AUTOSAR Manifest
Structure and components of the AUTOSAR Manifest Defining application dependencies
Module 6: Communication Management
Communication Management architecture and functions Service discovery and configuration management
Module 5: SOME/IP Communication
Overview of SOME/IP communication protocol Service discovery and client-server communication
Module 4: Execution Management
Process lifecycle management Resource allocation and management Health monitoring and
Module 3: Adaptive AUTOSAR Applications
Application structure and manifest files Managing processes and threads Inter-process
Module 2: Adaptive AUTOSAR Methodology
Service-Oriented Architecture (SOA) concepts Application design and modeling Understanding the
Module 1: Introduction to Adaptive AUTOSAR
Adaptive AUTOSAR architecture and concepts Comparison with Classic AUTOSAR Use
Module 7: Code Generation and Integration
Generating AUTOSAR-compliant code from Simulink models Configuring code generation settings
Module 6: Software Architecture Modeling with System Composer
Introduction to System Composer for software architecture modeling Creating components,
Module 5: Variant Management in AUTOSAR Applications
Managing software variations in AUTOSAR Using pre-compile options and configuration
Module 4: AUTOSAR Modeling Styles and Patterns
Best practices for AUTOSAR modeling Atomic and composite software components
Module 3: Modeling AUTOSAR Components in Simulink
Creating AUTOSAR components, runnables, and events Modeling components, ports, and
Module 2: AUTOSAR Design Workflows
Bottom-up, top-down, and round-trip design approaches Selecting suitable workflows for
Module 1: Introduction to AUTOSAR and Simulink
Overview of AUTOSAR architecture and components Benefits of using Simulink
Module 7: AUTOSAR Memory Stack
Understanding memory management in AUTOSAR Non-volatile memory management (NVRAM) Flash
Module 6: AUTOSAR Crypto Stack
Cryptographic services and secure communication in AUTOSAR Data protection using
Module 5: AUTOSAR Diagnostic Stack (Diag)
Introduction to the diagnostic stack architecture UDS and OBD diagnostic
Module 4: AUTOSAR Communication Stack (Com)
Overview of the communication stack architecture Signal routing and data
Module 3: AUTOSAR Operating System (OS)
Features and architecture of AUTOSAR OS Tasks, scheduling, and resource
Module 2: AUTOSAR Runtime Environment (RTE)
Understanding the RTE architecture and functionalities Communication mechanisms: Sender-Receiver and
Module 1: Introduction to AUTOSAR Architecture
Overview of AUTOSAR layered software architecture Application Layer, RTE, and
Module 6: MCAL Integration and Debugging
Integrating MCAL with the AUTOSAR Runtime Environment (RTE) Debugging and
Module 5: Implementing UART and I2C as Complex Device Drivers (CDD)
Concept of Complex Device Drivers (CDD) in AUTOSAR UART implementation:
Module 4: Core MCAL Modules
PORT Configuration: Input, output, alternate functions, and interrupts DIO: Digital
Module 3: MCAL Configuration and Code Generation
Using AUTOSAR configuration tools for MCAL setup Setting configuration parameters
Module 2: AUTOSAR MCAL Documentation
Understanding AUTOSAR MCAL SRS and SWS documents Extracting and applying
Module 1: Introduction to AUTOSAR MCAL
AUTOSAR architecture and software structure Overview of MCAL and its
Module 7: Testing and Security
Introduction to Compatibility Test Suite (CTS) and Vendor Test Suite
Module 6: CAR API and Application Development
Overview of the CAR API and its applications Accessing vehicle
Module 5: Hardware Abstraction Layer (HAL)
Understanding HAL architecture and types (legacy, binderized) Implementing HAL modules
Module 4: Android BSP Development
Introduction to Board Support Package (BSP) concepts Porting Android to
Module 3: Android Framework and Build System
Android application components: Activities, Services, Broadcast Receivers, Content Providers User
Module 2: Android OS Fundamentals
Linux kernel functions in Android Android boot process and initialization
Module 1: Introduction to Android Automotive OS
Overview of Android and its role in the automotive industry
Module 7: Debugging and Troubleshooting
Debugging kernel code using printk, kdump, and kgdb Analyzing kernel
Module 6: Kernel Features and Internals
Process and thread management in Linux kernel Inter-process communication using
Module 5: Network Device Drivers
Overview of network stack and driver interaction Introduction to net_device
Module 4: Block Device Drivers
Understanding block device driver framework Request queue and I/O scheduling
Module 3: Character Device Drivers
Character device driver framework and file operations Implementing open, read,
Module 2: Kernel Modules
Understanding kernel modules and their benefits Building and loading kernel
Module 1: Introduction to Linux Kernel
Overview of Linux kernel architecture and components Kernel source code
Module 7: Application Development and Deployment
Cross-compiling applications for embedded Linux Using libraries and frameworks for
Module 6: Introduction to Xen Hypervisor
Basics of virtualization and its advantages Understanding Xen hypervisor architecture
Module 5: Yocto Project
Overview of the Yocto Project and its components Understanding the
Module 4: Root File System
Introduction to root file system and its structure Role of
Module 3: Bootloaders and Boot Process
Understanding bootloader concepts and types Introduction to U-Boot and GRUB
Module 2: Building the Linux Kernel
Downloading and understanding Linux kernel source code Kernel configuration using
Module 1: Introduction to Embedded Linux
Overview of embedded systems and their applications Benefits of using
Module 9: Building an Automotive Infotainment Application
End-to-end project to design a simplified automotive infotainment application Implementing
Module 8: Testing and Debugging
Introduction to Qt Test framework for unit testing Writing and
Module 7: Qt for Mobile Development
Building and deploying Qt applications for mobile platforms like Android
Module 6: Concurrency and Multithreading
Basics of concurrency and multithreading in Qt Using QThread and
Module 5: Qt Graphics and Animation
Introduction to Qt’s graphics framework using QPainter and QGraphicsView Drawing
Module 4: Model/View Programming
Introduction to Model/View architecture in Qt Using Qt's model classes
Module 3: Qt Quick and QML
Introduction to Qt Quick and QML (Qt Meta-Object Language) Understanding
Module 2: Qt Widgets and Layouts
Introduction to Qt Widgets and their properties Common Qt Widgets
Module 1: Introduction to Qt and Qt Creator
Overview of the Qt framework and architecture Qt modules for
Module 6: Motion Planning for Autonomous Driving
Addressing challenges specific to autonomous driving motion planning Managing dynamic
Module 5: Rapidly-exploring Random Trees (RRT and RRT*)
Introduction to RRT for exploration and pathfinding Understanding the improvements
Module 4: Optimization-Based Motion Planning
Formulating motion planning as an optimization problem Defining objective functions
Module 3: Motion Planning with Potential Fields
Understanding potential field-based motion planning concepts Using attractive and repulsive
