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ESCMT Executive Program in Urban Renewal & Sustainable Development

ESCMT&IOTEK：AI Pathfinders – A 12-Week, Project-Driven Online AI Program for International Students

Why Choose This Program

  • Project-Driven: Mini Projects every module + a Capstone you can showcase.

  • EU-Friendly & Bilingual: Evening/weekend live sessions, full replays; English-first with Chinese support.

  • Career Boost: Resume/GitHub polishing, mock interviews, industry-style feedback.

  • Comprehensive Stack: Python → ML/DL → NLP/CV → MLOps & deployment.

  • Community & Support: TA guidance, peer learning, active Slack/Discord.

Image by Kenny Eliason

Program Overview​

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​Designed for undergrad, master’s, and PhD students in France/Europe—plus committed career-switchers. You’ll progress from fundamentals to frontier applications and production deployment, while building a credible portfolio for internships and graduate roles.

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You will:

  • Master core ML/DL concepts and mainstream models.

  • Use Python, NumPy/Pandas, PyTorch/TensorFlow, Hugging Face.

  • Ship real projects and a Capstone aligned with interview tasks.

  • Gain career support: code reviews, resume coaching, mock interviews.

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Who Should Apply

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  • Backgrounds in CS, Data, Engineering, Math, Physics—or strong motivation to switch.

  • Roles targeted: ML Engineer, Data Scientist/Analyst, Applied Research, MLE Intern.

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Curriculum (12 Weeks · 4 Modules)

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  • Module I · Foundations (Weeks 1–3)
    Python for AI; ML basics (supervised/unsupervised, evaluation); starter project (classification/regression).

  • Module II · Deep Learning Core (Weeks 4–8)

  • Neural nets, optimization; CNNs (ResNet, transfer); RNN/LSTM/GRU; projects: image classification/style transfer; sentiment analysis.

  • Module III · Frontier Applications (Weeks 9–10)
    NLP (Transformers, BERT/GPT, Hugging Face); CV advanced (GAN, U-Net, YOLO); projects: Q&A/summarization; generative images.

  • Module IV · Engineering & Career (Weeks 11–12)
    MLOps & deployment (Docker/FastAPI/Streamlit); Capstone (e.g., chatbot, recommender); career coaching & code reviews.

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Faculty & Teaching Team

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Researchers and senior engineers from leading universities and companies; industry-experienced TAs for timely support.​

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Assessment & Certification

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  • Grading: Assignments (30%) + Module Projects (40%) + Capstone (30%).

  • Certificate of Completion (LinkedIn-shareable).

  • Honors: recommendations, referrals, or tuition benefits for top performers.

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