Executive Development Programme in Biotech and AI

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The Executive Development Programme in Biotech and AI is a certificate course designed to bridge the gap between biotechnology and artificial intelligence. This programme emphasizes the importance of integrating AI technologies into biotech processes, creating a powerful force for innovation and growth in the industry.

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ใ“ใฎใ‚ณใƒผใ‚นใซใคใ„ใฆ

With the increasing demand for AI and biotech professionals, this course provides learners with essential skills to advance their careers and stay competitive in the industry. Learners will gain expertise in machine learning, data analysis, genomics, and biotechnological processes, preparing them for high-growth opportunities in biotech, pharmaceuticals, and healthcare. The programme combines theoretical knowledge with practical applications, giving learners hands-on experience with cutting-edge AI and biotech tools. By the end of the course, learners will have a comprehensive understanding of the latest industry trends and be equipped with the skills to lead successful AI and biotech projects in their organizations.

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ๅ…ฑๆœ‰ๅฏ่ƒฝใช่จผๆ˜Žๆ›ธ

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ๅฎŒไบ†ใพใง2ใƒถๆœˆ

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ใ„ใคใงใ‚‚้–‹ๅง‹

ๅพ…ๆฉŸๆœŸ้–“ใชใ—

ใ‚ณใƒผใ‚น่ฉณ็ดฐ

โ€ข Biotechnology Fundamentals: Understanding the basics of biotechnology, including genetic engineering, cell biology, molecular biology, and bioprocessing.
โ€ข Artificial Intelligence (AI) and Machine Learning (ML) Basics: An introduction to AI and ML, focusing on data mining, predictive analytics, deep learning, and natural language processing.
โ€ข AI in Biotech: Exploring the intersection of AI and biotechnology, including applications in drug discovery, diagnostics, and precision medicine.
โ€ข Machine Learning Techniques for Biotech: Hands-on training in ML techniques, such as regression, clustering, decision trees, and neural networks, with a focus on biotech applications.
โ€ข Bioinformatics and Genomics Data Analysis: Learning to manage, analyze, and interpret large-scale genomic and proteomic data using AI-driven tools and approaches.
โ€ข Biotech Entrepreneurship and Commercialization: Understanding the regulatory, business, and financial aspects of bringing biotech products to market, including the role of AI in accelerating innovation.
โ€ข Responsible AI in Biotech: Examining the ethical, legal, and social implications of AI in biotech, including issues related to privacy, bias, transparency, and security.

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ใ‚ณใƒผใ‚นใ‚’ๆญฃๅธธใซๅฎŒไบ†ใ™ใ‚‹ใจใ€ไฟฎไบ†่จผๆ˜Žๆ›ธใ‚’ๅ—ใ‘ๅ–ใ‚Šใพใ™ใ€‚

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ใ‚ณใƒผใ‚นใ‚’ๅฎŒไบ†ใ™ใ‚‹ใฎใซใฉใ‚Œใใ‚‰ใ„ๆ™‚้–“ใŒใ‹ใ‹ใ‚Šใพใ™ใ‹๏ผŸ

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ใ„ใคใ‚ณใƒผใ‚นใ‚’้–‹ๅง‹ใงใใพใ™ใ‹๏ผŸ

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ใ‚ตใƒณใƒ—ใƒซ่จผๆ˜Žๆ›ธใฎ่ƒŒๆ™ฏ
EXECUTIVE DEVELOPMENT PROGRAMME IN BIOTECH AND AI
ใซๆŽˆไธŽใ•ใ‚Œใพใ™
ๅญฆ็ฟ’่€…ๅ
ใงใƒ—ใƒญใ‚ฐใƒฉใƒ ใ‚’ๅฎŒไบ†ใ—ใŸไบบ
London School of International Business (LSIB)
ๆŽˆไธŽๆ—ฅ
05 May 2025
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