AI for Business Professionals
Program Content
Introduction to AI and its various subfields
Hierarchy of AI terms
Types of AI and their real-world applications, with a focus on business use cases.
How does an AI learn? An overview of supervised learning and classification.
Hands-on activity: Building a sentiment detection AI model from text
Introduction to classification and regression
Evaluating AI models and assessing their effectiveness
Lifecycle of AI in Business
AI and Tools Landscape
Example use cases in Healthcare, Finance, and Marketing
Introduction to Natural Language Processing
Types of NLP models and how they're used in business applications
Introduction to transformers and their applications in NLP
Introduction to ChatGPT and how it works
Prompt engineering and how it's used in ChatGPT
Usage patterns for ChatGPT and how they differ from traditional chatbots
Drawbacks of ChatGPT and how to mitigate in business use cases
Issues with automation using ChatGPT and how to overcome them
Relationship between data science and AI, tools and delivery models.
AI Trends (MLOps, Explainability,etc) and their business implications
Paths to success with AI (NLP and other)
AI technology roadmap in industry
Build vs. Buy decisions
Target Audience:
- Entrepreneurs seeking to leverage AI for business growth.
- Professionals interested in AI integration; product managers, operations managers, strategic planners, innovation/technology leaders
- Decision-makers aiming to drive innovation and strategic success
Key Deliverables
- Gain a comprehensive understanding of AI's business applications, resulting in informed decision-making.
- Learn practical AI implementation strategies across industries, driving innovation and problem-solving.
- Develop skills in AI model evaluation for data-driven decision-making and optimized implementations.
- Stay ahead of the curve with AI trend insights, driving strategic decisions for business success.
- Understand the fundamentals of Natural Language Processing (NLP) and its applications in business contexts.
- Acquire strategies to drive tangible ROI through effective AI implementation for your organization.
Your Trainers
Dr. Sindhu Ghanta
Dr. Amit Gupta
With over 12+ years of industry experience. Dr. Ghanta obtained her Ph.D. in electrical and computer engineering from Northeastern University, Boston, USA, in 2014. Previously, she served as a Postdoctoral Fellow at BIDMC and the Department of Pathology, Harvard Medical School, specializing in the detection and classification of features from histopathological images. She has extensive experience in ML innovations, including working as a research scientist with Parallel Machines on monitoring the health of machine learning algorithms in production. She has contributed to numerous publications and currently leading machine learning initiatives at AIClub and AIClubPro.
IoT and AI professional with 7+ years of industry experience, helping businesses build and deploy IoT solutions as the Co-founder of DataTurtles. Over the past few years, Dr. Gupta have mentored 4500+ students, professionals, and professors in advanced technologies like IoT and AI. He has built 50+ deployable IoT prototypes, helped 6+ startups build hardware solutions, and worked on 6 hardware products
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Kay Vasey
MeshMinds & The MeshMinds Foundation
Dr. Franz Georg Fuchs
Isuru W. Fernando
Neranjan Dissanayake
Dr. Norilmi Amilia Ismail
Dr. Gerard Fernando
Zone24X7
He possess a BSc and Ph.D. in Electrical Engineering from Imperial College, London, UK. Has led standards efforts in ISO and IETF relating to Java, media delivery, security, and video codecs. Has several patents and publications in these technology areas. As well as having worked at Sun Microsystems Inc. in the USA, Philips Electronics in the UK and ZTE Corporation in China.
Peter Ward
Peter’s latest venture is Dijital Team which helps organisations accelerate their growth by designing and building awesome IT teams whilst reducing costs and increasing efficiency.
Peter Ahnert
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Transformative Powers of Large Language Models
Unlock the Potential of Data with Prompt Engineering
Shaping a Sustainable Future:
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PocketQube Satellites: Miniaturized Platforms for IoT Connectivity
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