Overview
The course is designed to provide an in-depth understanding of the startup ecosystem and the role of anticipatory management in ensuring early-stage business success. It emphasizes real-world application through case studies, tools for forecasting, and strategic planning methods relevant to modern entrepreneurship.
Our Trainers
AARTI UPADHYAY
Ratna Raghuwanshi
Aditi Kichlu
CS Chitra Shridhar
Rahul Vishwakarma
Modules
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Introduction to Startups
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Definition, types, and characteristics
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Startup lifecycle and ecosystem
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Entrepreneurial Challenges & Opportunities
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Market dynamics, competition, innovation needs
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Principles of Anticipatory Management
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Foresight, trend analysis, scenario building
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Tools & Techniques for Forecasting
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SWOT, PESTEL, early warning systems
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Strategic Decision-Making in Startups
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Risk analysis, contingency planning, agility
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Case Studies & Startup Simulations
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Successful examples of anticipatory strategy
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Outcomes
Day 1: Introduction to Startups
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What is a startup?
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Startup vs. traditional business
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Types of startups (tech, social, lifestyle, etc.)
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Overview of startup lifecycle
Day 2: Entrepreneurial Mindset & Skills
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Traits of successful entrepreneurs
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Creative thinking and risk-taking
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Importance of resilience and adaptability
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Mindset for innovation and growth
Day 3: Startup Ecosystem & Support Systems
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Startup ecosystem components: incubators, accelerators, investors
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Government schemes (Startup India, MSME, etc.)
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Role of mentors, networks, and educational institutions
Day 4: Challenges Faced by Startups
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Market competition and customer acquisition
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Funding and financial management
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Regulatory and legal hurdles
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Team and leadership challenges
Day 5: Introduction to Anticipatory Management
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Concept and importance of anticipatory management
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Proactive vs. reactive strategies
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Role in uncertainty and dynamic markets
Day 6: Tools & Techniques for Anticipatory Thinking
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SWOT and PESTEL analysis
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Trend analysis and early warning signals
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Environmental scanning
Day 7: Scenario Planning & Risk Management
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Building scenarios for future possibilities
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Identifying risk factors
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Developing contingency plans
Day 8: Strategic Decision-Making for Startups
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Aligning startup goals with long-term vision
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Decision-making models in uncertain environments
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Importance of data-driven decisions
Day 9: Case Studies and Real-Life Applications
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Study of successful startups using anticipatory strategies
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Analysis of failed startups – what went wrong?
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Group discussion on lessons learned
Day 10: Project Presentation & Feedback
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Group activity: Present a startup idea with anticipatory strategy
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Peer and mentor feedback
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Summary, Q&A, and course wrap-up
