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4 étapes
Programme des fondateurs
Le programme North Forge 4-Stage Founders est une initiative complète de développement entrepreneurial conçue pour soutenir les startups à différentes étapes de leur parcours, de l'idéation à la mise à l'échelle. Ce programme fournit aux entrepreneurs les ressources, le mentorat et les conseils nécessaires pour transformer leurs idées en entreprises prospères.
4 étapes
Programme des fondateurs
Le programme North Forge 4-Stage Founders est une initiative complète de développement entrepreneurial conçue pour soutenir les startups à différentes étapes de leur parcours, de l'idéation à la mise à l'échelle. Ce programme fournit aux entrepreneurs les ressources, le mentorat et les conseils nécessaires pour transformer leurs idées en entreprises prospères.
4 étapes
Programme des fondateurs
Le programme North Forge 4-Stage Founders est une initiative complète de développement entrepreneurial conçue pour soutenir les startups à différentes étapes de leur parcours, de l'idéation à la mise à l'échelle. Ce programme fournit aux entrepreneurs les ressources, le mentorat et les conseils nécessaires pour transformer leurs idées en entreprises prospères.
4 étapes
Programme des fondateurs
Le programme North Forge 4-Stage Founders est une initiative complète de développement entrepreneurial conçue pour soutenir les startups à différentes étapes de leur parcours, de l'idéation à la mise à l'échelle. Ce programme fournit aux entrepreneurs les ressources, le mentorat et les conseils nécessaires pour transformer leurs idées en entreprises prospères.
1
Foundations of AI & Machine Learning
At the end of this module, learners will be able to:
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Define AI and Machine learning
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List the events that shaped AI history
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Explain what an AI Agent is and their value
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Identify AI tools in the market
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Describe how businesses apply AI in their daily operations
2
Prompt Engineering & Conversational AI
At the end of this module, learners will be able to:
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Define prompt engineering and its usage with conversational AI
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Describe how Large Language Models use prompts
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Develop prompts to generate various outputs using best practices
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Compare prompt engineering tools and outline their strengths across diverse applications
3
AI 2025 Trends and Augmented Intelligence
LIVE EXPERT SESSION
At the end of this module, learners will be able to:
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Outline key trends in AI and other forms of augmented intelligence in 2025
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Describe how these trends apply to the needs of startups
4
AI Ethics and Data Governance
At the end of this module, learners will be able to:
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Define the basic elements of a responsible use of AI
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Define common AI guardrails and governance elements
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Describe techniques and approaches for monitoring and removing bias in the use of LLM AI
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Describe a basic approach to their own organization/product Responsible Use of AI Policy
5
AI Powered Market Research and Intelligence
At the end of this module, learners will be able to:
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Explain how AI technologies are transforming the traditional market research process
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Differentiate between human-driven, hybrid and AI automated research methods and their pros and cons for start ups
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Identify leading AI tools for competitor analysis, customer insights and trend forecasting
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Describe how AI can help transform raw data into meaningful insights using summarization, sentiment analysis and data visualization
6
Data Scientists on Getting Started with AI
LIVE EXPERT SESSION
At the end of this module, learners will be able to:
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Identify common AI use cases in startups (e.g., customer service, market research, product features, personalization).
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Describe how to find a good AI partner to support their start up
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Explore and test beginner-friendly AI tools (like ChatGPT, Notion AI, or Midjourney) to solve specific startup challenges.
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Evaluate whether and where to apply AI in their own startup (e.g., using a simple opportunity checklist or canvas).
7
Real World Use Cases for Startups
LIVE EXPERT SESSION
At the end of this module, learners will be able to:
-
Identify real-world examples of AI being used in marketing, product, sales, operations, customer service, and finance.
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Understand how AI is transforming key business processes and customer experiences in early-stage startups.
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Compare use cases by function, business model, and stage of growth.
8
Developing AI Cost Structures, Performing ROI Analysis and Financial Strategy
At the end of this module, learners will be able to:
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Identify key cost drivers in AI initiatives (e.g., data acquisition, tools/platforms, talent, compute, integration).
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Compare different AI development options (build vs. buy vs. partner) and their financial implications.
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Break down the total cost of ownership (TCO) for a specific AI use case in their startup.
9
Machine Learning Operations Roundtable
LIVE EXPERT SESSION
At the end of this module, learners will be able to:
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Explain the role of MLOps in bridging data science and production environments.
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Describe the core components of MLOps (model development, deployment, monitoring, retraining, governance) in plain, founder-friendly language.
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Recognize the risks of skipping MLOps—like model drift, technical debt, and failed adoption.
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Identify what an end-to-end ML lifecycle looks like in early-stage startups.
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Compare lightweight vs. enterprise MLOps approaches, and understand what’s right-sized for a startup.
10
Managing an AI Implementation
At the end of this module, learners will be able to:
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Clarify the problem an AI initiative is solving and the expected outcomes.
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Set clear success metrics and KPIs for the implementation (e.g., accuracy, efficiency, cost savings, adoption).
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Align the AI project with business goals, user needs, and product strategy.
11
Future Trends, Regulatory Frameworks, and Risk Management
LIVE EXPERT SESSION
At the end of this module, learners will be able to:
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Summarize key regulatory developments in AI (e.g., EU AI Act, U.S. Executive Orders, global policy trends).
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Differentiate between high-risk vs. low-risk AI applications under emerging laws.
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Recognize legal and compliance implications for startups (e.g., data sourcing, model transparency, explainability).
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Identify major categories of AI risk (e.g., technical, operational, reputational, ethical, legal).
12
Multi-Modal AI and Human in the Loop Design
At the end of this module, learners will be able to:
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Explain what multi-modal AI is (e.g., combining text, image, video, audio inputs) in plain terms.
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Identify real-world startup use cases for multi-modal AI (e.g., voice assistants, medical imaging, content generation).
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Differentiate between uni-modal, multi-modal, and cross-modal systems.
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Describe the concept of HITL and why it’s critical for responsible AI adoption.
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Recognize scenarios where human input is essential (e.g., safety, bias correction, edge cases, training data refinement).
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Explore real-world HITL workflows and examples across industries.
4 étapes
Programme des fondateurs
Le programme North Forge 4-Stage Founders est une initiative complète de développement entrepreneurial conçue pour soutenir les startups à différentes étapes de leur parcours, de l'idéation à la mise à l'échelle. Ce programme fournit aux entrepreneurs les ressources, le mentorat et les conseils nécessaires pour transformer leurs idées en entreprises prospères.
