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BAS IT Converge Learning Track

Why Thinktech

Why thinktech?

  We are a dedicated training organization, specializing in technical disciplines and providing training courses in the areas of engineering, networking, Smart Buildings, IoT, digitalization, automation, cybersecurity and related subjects

  We are serving educational, commercial, IT, data centre, retail, financial industries among others

  Our team is available to provide local and tailored customer support

  We offer attractive pricing and multiple training dates

Thinktech Course Description

Course description

BAS IT Converge Learning Track – Self-paced, on-demand program

 

Unifying IT, networking, cloud, analytics, data modelling and cyber security for next generation Building Automation professionals.

The BAS IT Converge Learning Track is a comprehensive, multi-course learning pathway designed to equip professionals with the core digital competencies needed to thrive in modern building automation environments. From foundational IT to data modelling and cloud integration, this program brings together the full technology stack shaping the future of BAS.

This Learning Track combines three courses:

BAS IT Converge 1: IT Foundations
Build a solid understanding of essential IT concepts in the context of building automation.
Learn the fundamentals of computing, operating systems, and protocols that underpin modern BAS environments. Ideal for professionals transitioning into more digital or networked control systems.

BAS IT Converge 2: Networking & Connectivity
Master the networking principles and communication essential to connected BAS systems.
Explore IP networking, VLANs, firewalls, and emerging protocols. Gain the skills to design, troubleshoot, and secure networked BAS infrastructures.

BAS IT Converge 3: Cloud Integration
Understand how cloud technologies transform BAS, from data storage to remote access and scalability.
Learn how to integrate BAS with cloud platforms for analytics, device management, and service delivery. Covers edge-to-cloud architectures, cybersecurity considerations, and key cloud services.

BAS IT Converge 4: Data, Analytics & AI
Leverage data-driven insights to optimize building performance and system operations.
Delve into data collection, normalization, visualization, and advanced analytics. Learn to use tools and methods for turning BAS data into actionable intelligence.

BAS IT Converge 5: Information Modelling
Introduce semantic structure and meaning into your BAS data through ontologies and standard models.
Learn how to model devices, systems, and data using industry standards like Brick or Haystack. Ideal for enabling smarter integrations, analytics, and interoperability.

BAS IT Converge 6: Cybersecurity & Resilience
Safeguard modern BAS environments against evolving digital threats and disruptions.
Understand the unique cybersecurity challenges in building automation systems and develop the skills to assess, mitigate, and respond to risks. This course covers threat vectors, secure architecture design, encryption, authentication, compliance requirements, and incident response specific to BAS. Learn how to build resilient systems that maintain integrity, confidentiality, and availability in a connected world.

Thinktech Dates

Available Training Options

BAS IT Converge Learning Track – Self-paced, on-demand

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Thinktech Course Breakdown

Course breakdown

Module 1: Computing Fundamentals for BAS

– Computer in a BAS context

– CPUs, memory, storage — what matters for BAS

– Embedded controllers vs servers vs VMs

– OT vs IT environments

Module 2: Operating Systems & Virtualisation

– Windows, Linux, embedded OS in BAS

– Services, processes, users, permissions

– Virtual machines vs bare metal

– Virtualisation for Niagara & BAS servers

Module 3: Files, Databases & Data Basics

– Files vs databases

– Introduction to SQL concepts

– Logs, histories, trends, backups

– BAS data lifecycle

Module 4: Protocols & System Interfaces

– What is a protocol?

– IP vs serial protocols

– Northbound vs southbound interfaces

– APIs as BAS interfaces

Module 1: How Networks Actually Move Data

– What a network really is (devices, links, rules)

– How BAS devices communicate on a network

– MAC addresses and device identity

– IP addresses as logical identity

– How data moves step by step (controller → supervisor)

– Common BAS network failure patterns

Module 2: IP Addressing, Subnets & Gateways

– IP address structure

– What “same network” actually means

– Why subnets exist

– Subnet masks explained practically

– Default gateways and when they are used

– MAC vs IP vs hostname (DNS in BAS context)

– Common BAS IP configuration mistakes

Module 3: Switching, VLANs & Network Segmentation

– What switches actually do

– Switching vs routing

– Broadcast traffic in BAS networks

– BACnet/IP and broadcast sensitivity

– VLANs explained for BAS environments

– Flat vs segmented networks

– When segmentation helps or hurts BAS

Module 4: Routing, Firewalls & Remote Access

– Routing basics (same network vs different network)

– How routers affect BAS communication

– Firewalls and ports

– Why BAS traffic is often blocked

– NAT explained simply

– VPNs and remote BAS access

– Common BAS firewall and security challenges

Module 5: Modern Connectivity & Protocol Patterns

– BAS protocols over IP

– Polling vs publish/subscribe models

– MQTT, HTTP and modern BAS integrations

– Edge devices and protocol gateways

– Typical gateway failure patterns

– Designing BAS networks for scale and growth

Module 1: Cloud Concepts for BAS

– What cloud really means

– IaaS, PaaS, SaaS for BAS

– On‑prem vs hybrid

– Latency and availability

Module 2: Edge-to-Cloud Architectures

– Edge controllers and gateways

– Data pipelines

– Store‑and‑forward

– Offline operation

Module 3: Cloud Services Used in BAS

– Databases, storage, compute

– APIs and integrations

– Identity and access basics

– Cost awareness

Module 4: Security & Governance in the Cloud

– Shared responsibility

– Encryption basics

– Identity and secrets

– Cloud risks for BAS

Module 1: BAS Data Fundamentals

– BAS data types

– Point vs event data

– Data quality issues

– Normalization challenges

Module 2: Analytics Concepts

– KPIs vs insights

– Rules‑based analytics

– Fault detection basics

– Analytics pitfalls

Module 3: Visualisation & Reporting

– Dashboards vs reports

– Contextual visualisation

– Avoiding misleading charts

– Performance storytelling

Module 4: AI & Machine Learning

– What AI is (and isn’t)

– ML use cases in BAS

– Data requirements

– Responsible AI

Module 1: Why Information Modelling Matters

– Unstructured BAS data problems

– Names vs meaning

– Interoperability challenges

– Analytics dependency

Module 2: Semantic Modelling Concepts

– Tags and relationships

– Entities vs points

– Graph thinking

– Modelling vs naming

Module 3: Industry Models

– Brick and Haystack overview

– Strengths and limitations

– BAS use cases

– Adoption realities

Module 4: Applying Models in Practice

– Modelling for analytics

– Modelling for integration

– Incremental adoption

– Avoiding over‑engineering

Module 1: Cybersecurity Fundamentals

– Why BAS is targeted

– IT vs OT security

– Threat actors

– Common vulnerabilities

Module 2: Secure Architecture Design

– Network segmentation

– Least privilege

– Secure remote access

– System hardening

Module 3: Identity, Authentication & Encryption

– Users vs services vs devices

– Authentication methods

– Certificates and encryption

– Credential management

Module 4: Resilience & Incident Response

– Designing for failure

– Backups and recovery

– Monitoring and alerting

– Incident response basics

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