![\"\"](\"https:\/\/www.dawsoncollege.qc.ca\/ai\/wp-content\/uploads\/sites\/180\/AI-Accelerator-Programs-trim-copy-800x524.jpg\")
\nLaunched in the summer of 2025, as a partnership between Dawson College, AI Launch Lab and Mitacs, the AI \u200b\u200bAccelerator Program represents the next step in R&D program initiatives, providing college students with the opportunity to work on real-world projects. The 10-week online program provides the tools and exposure needed to enable students from all disciplines to launch their careers in AI. In addition, the program could be followed by a paid internship for college students by Mitacs in collaboration with organizations or companies.<\/p>\n
Over the course of 10 weeks (last two weeks, optional), from February 15 to April 16, 2025 immerse yourself in the world of AI!<\/strong><\/p>\n Why join?<\/strong><\/p>\n Weeks 1-4: Foundational Skills Weeks 5-8: AI and Machine Learning Weeks 9-10: Advanced AI Topics (Optional) This structured approach ensures that by the end of the program, you\u2019ll have a comprehensive understanding of both foundational and advanced AI concepts, along with practical experience to apply in real-world scenarios.<\/p>\n *As this unique opportunity is new, the number of paid internships available is limited at this time.<\/u><\/p>\n <\/p>\n <\/p>\n Workshops<\/b><\/p>\n <\/p>\n If you were wondering whether AI is everywhere, it is! The skills that you gain from AI training programs are applicable to almost any field and give you the opportunity to gain real experience.<\/span><\/p>\n This program aims to fill that gap by helping C\u00c9GEP students. If you apply now, you are taking a step forward to get ahead in your industry.<\/span><\/p>\n\n
Program Timeline\u00a0<\/b><\/h5>\n
\n<\/strong>In the first four weeks, you\u2019ll build a strong foundation in essential skills such as programming, data handling, and data cleaning. These foundational skills will equip you with the necessary tools to succeed in more advanced AI and machine learning concepts.<\/p>\n
\n<\/strong>The next four weeks will focus on core AI and machine learning topics. You\u2019ll dive into key algorithms, fine-tuning models, and practical applications, gaining hands-on experience through projects and exercises.<\/p>\n
\n<\/strong>In the final two weeks, you\u2019ll explore advanced AI topics that push the boundaries of what you\u2019ve learned. These sessions will cover cutting-edge techniques and specialized applications, preparing you to tackle complex challenges in AI.<\/p>\n![\"\"](\"https:\/\/www.dawsoncollege.qc.ca\/ai\/wp-content\/uploads\/sites\/180\/WINTER-2025-800x320.png\")
\nAdditional Information<\/strong><\/h5>\n
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Winter 2025 Cohort’s Schedule and Topics<\/strong><\/h5>\n
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\n Saturday, February 15 – April 26<\/b><\/td>\n<\/tr>\n \n February 15<\/span><\/td>\n Orientation + Project Blueprint + Intro to Machine Learning + Ethics part 1 (Destination AI certs)<\/td>\n<\/tr>\n \n February 22<\/td>\n Exploring AI for Good + Python Crash Course<\/td>\n<\/tr>\n \n March 8<\/td>\n Introduction to Deep Learning, Hugging Face & Fine-Tuning Models<\/td>\n<\/tr>\n \n March 15<\/td>\n Retrieval-Augmented Generation (RAG) & AI Agent<\/td>\n<\/tr>\n \n March 22<\/td>\n Data Journalism Challenge<\/strong><\/td>\n<\/tr>\n \n March 29<\/td>\n Ethics in AI (Part 2) & Current Trends in AI<\/td>\n<\/tr>\n \n November 16<\/td>\n RAG – Retrieval Augmented Generation + Agents<\/td>\n<\/tr>\n \n April 5<\/td>\n Streamlit \u2013 Building a Demo Website for AI Projects<\/td>\n<\/tr>\n \n April 12<\/td>\n CV Building, Portfolio, Pitching Projects, & Mitacs Opportunities<\/td>\n<\/tr>\n \n April 26<\/td>\n AI Project Student Presentations<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n Winter 2025 Application<\/strong><\/h5>\n