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DTSTART;TZID=Asia/Krasnoyarsk:20240624T083000
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UID:14170-1719217800-1719230400@www.eabc-thailand.org
SUMMARY:AI Engineering Training
DESCRIPTION:This engaging 3-hour course\, divided into 4 insightful chapters and complemented by 2 hands-on\, on-site exercises\, will take you through the essentials of GPT/GenAI. This course is a blend of theoretical understanding\, practical skills\, and forward-thinking strategies that will keep you ahead of the curve. \nApplicable for: \nAny individual or corporate interested in improving their skills engaging with Generative AI tools for results at higher quality and efficiency. \n1. AI Engineering Beginner to Intermediate Levels (L1&L2) – 3h Training \n1.1         Introduction \nCourse Description: 3 hours\, 4 chapters\, 2 practical exercises \nThis engaging 3-hour course\, divided into 4 insightful chapters and complemented by 2 hands-on\, on-site exercises\, will take you through the essentials of GPT/GenAI. This course is a blend of theoretical understanding\, practical skills\, and forward-thinking strategies that will keep you ahead of the curve. \n1.2         Outline \nChapter 1: Fundamental Principles \n\nMisconceptions: Avoiding misuse of GenAI products\, first step of risks mitigation\,\nBasic Principles: Proper usage of GenAI tools\, setting the foundation for the later more complex modules.\nCommon Scenarios: Learning from actual cases to understand what is considered good use cases\nPrompt Engineering:  It’s more complicated than you thought – could be one of the keys to your success.\n\nChapter 2: Level 1 prompt engineering \n\nRCFC model: The power of thoughts \, translated into RCFC framework\, a powerful tool not widely explored in other courses.\nPositive Examples\, Negative Examples: Understand the reason to failures is the first step to success\nPractice\n\nChapter 3: Level 2 chain of thoughts \n\nCoT: Leveraging LLM’s Strategic analysis competencies\n0/1/n shot prompts: Tuning the model without the need for a large amount of data-set\nPractice\n\nChapter 4: Level 5 Integration (preview) \n\nIntroduction to Integration Business Case: What can be achieved in the mindset of improving the efficiency of a workflow to the overall operation efficiency instead of improving the speed of a singular task at hand\nElements to consider for Corporate Implementations\nRisks and Potential of GPT for Enterprise Applications: It requires more strategic thinking and risks regulation by starting from equipping your company with the right mindset and the right people.\n\n2. Key Takeaways \n\nEmpowerment of Knowledge Workers: Enhance skills and improve efficiency with comprehensive understanding of Generative AI tools.\nAcquiring Future Skills: Stay ahead in the AI landscape with a blend of theoretical knowledge and practical skills.\nDemystifying Generative AI: Learn proper usage\, risk mitigation\, and good use cases to dispel common misconceptions.\nStrategic Integration: Improve overall operational efficiency with strategic thinking and risk regulation\, preparing for enterprise applications.\n\n3. Company \nSystem in Motion is an Information System Consulting company that focuses on AI Transformation\, Integration\, Data Boost\, Maintenance\, and Training. \nOur belief: the customers’ needs over solution; the customers’ rapid change in business over original designs. Based on this belief\, we continuously provide personalized services and support to help our customers build sustainable and profitable business growth. \n4. Trainer  \nStephane Monsallier\, CEO From System in Motion. \nTechnology expert who began coding at 10\, founded Shanghai-based technology consulting firm System in Motion after graduating from CentraleSupelec. An influential figure in Shanghai’s entrepreneurial community\, he mentors at Orbit Ventures\, advises startups\, launched the EO Accelerator program\, and co-founded La French Tech Shanghai. Currently focused on Generative AI\, his expertise and eloquent keynotes make him a sought-after speaker and mentor. \nEvent Details; \nDate: 24 June 2024 \nTime: 8:30 – 12:00 PM \nLocation: EABC Office MThai Tower on 23rd Floor\, All Seasons Place. \nRegistration: https://forms.office.com/r/2B5N7jx5jb?origin=lprLink \nAdmission Fee: EABC Members = 6\,500 THB & Non-Members = 9\,500 THB \n 
URL:https://www.eabc-thailand.org/event/ai-engineering-training/
CATEGORIES:EABC Event
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