Tag: AI

2026 Atlantic AI Summit

Posted on by acenet

Accelerating AI Adoption in Atlantic Canada

Join us June 3-5 in Fredericton!

The Atlantic AI Summit brings together leaders from industry, government and academia, alongside participation from ecosystems like Toronto, MIT and California. It provides a vital regional platform for applied AI collaboration, idea exchange, knowledge sharing and industry readiness.

This year’s theme is focused on practical AI adoption – how organizations are implementing AI today, and what that means for productivity, competitiveness, and growth.

An industry-academic connector kicks off the summit on the first day, followed by keynotes, panels and sessions over the next 2 days built around real-world use cases. More than 25 speakers!

If you’re government, industry, a researcher, innovator, early career professional or student, participate in the summit to:

  • Make new connections and create new collaborations
  • Be better prepared to adopt applied AI in your organization through exposure to real-world use cases, demonstrations, and hands-on sessions
  • Connect with employers, innovators and applied research opportunities
  • Increase visibility for Atlantic Canada’s AI capabilities, talent, and success stories at the regional, national and international level
  • Fuel momentum toward pilot projects, applied research, and commercialization efforts rooted in regional priorities and needs.

Registration closes May 20th.

Details and Registration

LLMs for IT Professionals: Building, Fine-Tuning, and Deploying

Posted on by Matt Egginton

LLMs for IT Professionals: Building, Fine-Tuning, and Deploying

Back by Popular Demand!

We’re again partnering with Digital Nova Scotia and St. FX University to redeliver the five-module training program on machine learning, and specifically LLMs. 

This microcredential course is designed to equip experienced developers with the skills and knowledge necessary to build and deploy large language model (LLM)-based applications.

Participants will gain hands-on experience with transformers, datasets, Python AI models, and best practices for integrating AI into applications. They will also explore techniques for fine-tuning models, leveraging APIs, and ensuring robust testing and QA.

By the end of this course, learners will acquire the knowledge and practical skills to build and fine-tune LLMs, seamlessly integrate them into applications, develop end-to-end pipelines for specific use cases, and apply best practices for responsible AI deployment.

  • Module 1: Introduction and Fundamentals
  • Module 2: Building and Fine-Tuning LLMs
  • Module 3: Leveraging LLMs through APIs and Integration
  • Module 4: Utilization of RAG and MCP
  • Module 5: Good Practices and Ethics

Classes run Tuesdays and Thursdays beginning May 11th. There are additional self-learning materials, and participants will be expected to complete assignments and a capstone project.

For more information and to apply, visit Digital Nova Scotia.

LLMs for IT Professionals: Building, Fine-Tuning, and Deploying

Posted on by Matt Egginton

LLMs for IT Professionals: Building, Fine-Tuning, and Deploying

We’re again partnering with Digital Nova Scotia and St. FX University to redeliver the five-module training program on machine learning, and specifically LLMs, this time with an added module on RAG and MCP. 

This microcredential course is designed to equip experienced developers with the skills and knowledge necessary to build and deploy large language model (LLM)-based applications.

Participants will gain hands-on experience with transformers, datasets, Python AI models, and best practices for integrating AI into applications. They will also explore techniques for fine-tuning models, leveraging APIs, and ensuring robust testing and QA.

By the end of this course, learners will acquire the knowledge and practical skills to build and fine-tune LLMs, seamlessly integrate them into applications, develop end-to-end pipelines for specific use cases, and apply best practices for responsible AI deployment.

  • Module 1: Introduction and Fundamentals
  • Module 2: Building and Fine-Tuning LLMs
  • Module 3: Leveraging LLMs through APIs and Integration
  • Module 4: Utilization of RAG and MCP
  • Module 5: Good Practices and Ethics

Classes run from 9:00am to 12:00pm Tuesdays and Thursdays beginning January 5th. There are additional self-learning materials, and participants will be expected to complete assignments and a capstone project.

For more information and to apply, visit Digital Nova Scotia.

Digital Nova Scotia, St. FX and ACENET Launch Microcredential in AI

Posted on by Matt Egginton

Practical AI Utilization for Developers and Programmers

We’re partnering with Digital Nova Scotia and St. FX University to deliver a four-week training program on machine learning, and specifically LLMs. 

This microcredential course is designed to equip experienced developers with the skills and knowledge necessary to build and deploy large language model (LLM)-based applications.

Participants will gain hands-on experience with transformers, datasets, Python AI models, and best practices for integrating AI into applications. They will also explore techniques for fine-tuning models, leveraging APIs, and ensuring robust testing and QA.

By the end of this course, learners will acquire the knowledge and practical skills to build and fine-tune LLMs, seamlessly integrate them into applications, develop end-to-end pipelines for specific use cases, and apply best practices for responsible AI deployment.

Classes run from 4:00pm to 7:00pm Tuesdays and Thursdays for four weeks beginning January 28th. There are additional self-learning materials, and participants will be expected to complete assignments and a project.

For more information and to apply, visit Digital Nova Scotia.

Top AI Talent: Meet the Standout Graduates of our AI Microcredential Program for IT, Programming & Development

Posted on by Matt Egginton

Please view the full story at Digital Nova Scotia

Practical AI Utilization for Developers and Programmers

ACENET has partnered with Digital Nova Scotia and St. FX University to deliver a four-week training program on machine learning, and specifically LLMs. 

This microcredential course is designed to equip experienced developers with the skills and knowledge necessary to build and deploy large language model (LLM)-based applications.

Participants gained hands-on experience with transformers, datasets, Python AI models, and best practices for integrating AI into applications. They will explored techniques for fine-tuning models, leveraging APIs, and ensuring robust testing and QA.

By the end of this course, learners acquired the knowledge and practical skills to build and fine-tune LLMs, seamlessly integrate them into applications, develop end-to-end pipelines for specific use cases, and apply best practices for responsible AI deployment.

The first cohort completed the program in March, 2025. Digital Nova Scotia interviewed two of the top candidates about their experience. 

Joseph Orji, https://www.linkedin.com/in/joseph-orji/
Alexei Bissonnette, https://www.linkedin.com/in/alexei-bissonnette-9aa38a23a/

Read the interviews at Digital Nova Scotia!