{"id":18346482,"url":"https://github.com/infineon/training-modustoolbox","last_synced_at":"2026-02-18T16:00:57.215Z","repository":{"id":50412948,"uuid":"399969651","full_name":"Infineon/training-modustoolbox","owner":"Infineon","description":null,"archived":false,"fork":false,"pushed_at":"2026-02-05T16:34:28.000Z","size":446,"stargazers_count":40,"open_issues_count":0,"forks_count":8,"subscribers_count":11,"default_branch":"master","last_synced_at":"2026-02-06T02:52:08.959Z","etag":null,"topics":["modustoolbox","training"],"latest_commit_sha":null,"homepage":"","language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Infineon.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2021-08-25T22:12:48.000Z","updated_at":"2026-02-05T16:34:32.000Z","dependencies_parsed_at":"2025-09-25T23:34:37.309Z","dependency_job_id":"36f64da7-4a1a-43bc-b819-c5c74c906dbc","html_url":"https://github.com/Infineon/training-modustoolbox","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Infineon/training-modustoolbox","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Infineon%2Ftraining-modustoolbox","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Infineon%2Ftraining-modustoolbox/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Infineon%2Ftraining-modustoolbox/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Infineon%2Ftraining-modustoolbox/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Infineon","download_url":"https://codeload.github.com/Infineon/training-modustoolbox/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Infineon%2Ftraining-modustoolbox/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":29585441,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-02-18T13:56:48.962Z","status":"ssl_error","status_checked_at":"2026-02-18T13:54:34.145Z","response_time":162,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.5:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["modustoolbox","training"],"created_at":"2024-11-05T21:11:38.842Z","updated_at":"2026-02-18T16:00:57.203Z","avatar_url":"https://github.com/Infineon.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# ModusToolbox™ Software Training\n\nThis page contains links to ModusToolbox™ training classes that are available on GitHub. These classes are organized in a modular fashion and broken into levels. Each class is focused on a specific area so that you can learn about a topic quicker and build upon your knowledge as your needs evolve.\n\n## Getting started\n\n- [ModusToolbox™ Getting Started](https://github.com/infineon/training-modustoolbox-level1-getting-started) - This is the entry-level ModusToolbox™ training class with course material and excercises.\n\n- [PSOC™ Developer Journey](https://www.infineon.com/product-information/psocdeveloper/develop) - This is a link to the developer journey page, with a series of videos that guide you through the basic MCU development flow, as well as several DEEPCRAFT™ Studio development flows.\n\n- [Infineon Academy](https://infineon-academy.csod.com/ui/lms-learner-search/search?pageNumber=1\u0026query=Modustoolbox) - This is a link to the Infineon Academy page. Here you'll find videos about ModusToolbox™, as well as many other Infineon products and services.\n\n## Device family-specific training\n\n- [ModusToolbox™ training - PSOC™ 6, PSOC™ 4, and AIROC™ CYW20829 MCUs](https://github.com/infineon/training-modustoolbox-level2-psoc) - This is a 2nd level ModusToolbox™ training class. It covers PSOC™ 6, PSOC™ 4 and CYW20829 MCUs.\n\n- [ModusToolbox™ training – XMC7000 and TRAVEO T2G MCUs](https://github.com/infineon/training-modustoolbox-level2-xmc7x) - This is a 2nd level ModusToolbox™ training class. It covers XMC7000 and TRAVEO™ T2G MCUs.\n\n- [ModusToolbox™ training – AIROC™ Bluetooth® SDK (BTSDK) MCUs](https://github.com/infineon/training-modustoolbox-level2-btsdk) - This is a 2nd level ModusToolbox™ training class. It covers MCUs using the BTSDK API including the CYW20819, CYW20820, CYW20835, and CYW43012 (in embedded mode).\n\n## Device feature-specific training\n\n- [PSOC™ digital peripherals training](https://github.com/Infineon/mtb-training-psoc-digital-peripherals) - This training introduces common peripherals available on PSOC™ 4, PSOC™ 6, and PSOC™ Edge microcontrollers. The training will cover project creation, GPIO control, UART and retartget-IO, SCBs, TCPWMs, interrupts, Systick, and WDT control using ModusToolbox™ and the device Peripheral Driver Library (PDL).\n\n- [ModusToolbox™ training - Bluetooth® Type1 and Type2](https://github.com/infineon/training-modustoolbox-level3-bluetooth) - This is a pair of classes to teach how to use Bluetooth® Low Energy in ModusToolbox™ applications. The Type1 class applies to AIROC™ Bluetooth® devices paired with an external host (such as CYW43012 + PSOC™ 6) and AIROC™ Bluetooth® devices with two MCUs (such as PSOC™ 63 and CYW20829). The Type2 class applies to AIROC™ Bluetooth® devices with a single MCU (such as CYW20835). While the interaction with the MCU is different, the basic Bluetooth® operation is the same in both classes, so you can choose whichever one best suits your needs.\n\n- [ModusToolbox™ training - Wi-Fi](https://github.com/infineon/training-modustoolbox-level3-wifi) - This is a class to teach how to use Wi-Fi in ModusToolbox™ applications. The descriptions and exercises use a PSOC™ 6 MCU as a host to a CYW43012 connectivity device.\n\n- [ModusToolbox™ training - Machine learning](https://github.com/infineon/training-modustoolbox-level3-machine-learning) - This is a class to teach how to use the ModusToolbox™ machine learning solution. The descriptions and exercises use a PSOC™ 6 MCU along with motion sensors and microphones to develop IoT applications for gesture detection, keyword detection, etc.\n\n# Device-focused training\n\n## PSOC™ 4\n\n- [PSOC™ 4 CAPSENSE™ training](https://github.com/Infineon/mtb-training-psoc-4-msclp-capsense) - This training introduces the 5th generation Multi-Sense Converter with Low-Power (MSCLP) available on the PSOC™ 4000T and PSOC™ 4100T Plus.\n\n- [PSOC™ 4 Inductive sensing (ISX) training](https://github.com/Infineon/mtb-training-psoc-4-msclp-inductive) - This training introduces Inductive sensing (ISX) on the 5th generation Multi-Sense Converter with Low-Power (MSCLP) available on the PSOC™ 4000T and PSOC™ 4100T Plus.\n\n- [PSOC™ 4 Liquid Level Sensing (LLS) training](https://github.com/Infineon/mtb-training-psoc-4-msclp-lls) - This training introduces Liquid Level Sensing (LLS) on the 5th generation Multi-Sense Converter with Low-Power (MSCLP) available on the PSOC™ 4000T and PSOC™ 4100T Plus.\n\n## PSOC™ Edge\n\n- [PSOC™ Edge introduction](https://github.com/Infineon/mtb-training-psoc-edge-e84-introduction) - The training provides an introduction to PSOC™ Edge. It provides an overview of the features and capabilities of PSOC™ Edge, including its hardware-assisted Machine Learning/Machine Intelligence (ML/ML) and artificial intelligence (AI) capabilities, sensor fusion, and real-time control. \n\n- [PSOC™ Edge getting started](https://github.com/Infineon/mtb-training-psoc-edge-e84-intro-ecosystem) - This session covers everything you need to begin developing with PSOC™ Edge E84, including hardware and software tools, as well as development resources. \n\n- [PSOC™ Edge technical introduction](https://github.com/Infineon/mtb-training-psoc-edge-e84-features) - This training provides an introduction to key features of the PSOC™ E84 microcontrollers, including audio, graphics, sensor hub, memories, low power modes, and machine learning. \n\n- [PSOC™ Edge Security Introduction](https://github.com/Infineon/mtb-training-psoc-edge-security-intro) - This training provides an introduction to fundamental security concepts, including cryptography basics, IoT security, and security threats; and then it explores the security features available in PSOC™ Edge, providing practical experience using Edge Protect Tools, provisioning the device, and enabling secured boot.","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Finfineon%2Ftraining-modustoolbox","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Finfineon%2Ftraining-modustoolbox","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Finfineon%2Ftraining-modustoolbox/lists"}