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AI-Augmented Business Program
AI-Augmented Business Program
A program designed with a perfect learning roadmap, consisting of three progressive levels:
Get started with the AI Horizon Program
Focus and deepen expertise with the AI Mastery Track
Master and innovate with the AI Innovation Lab
AI Horizon Program
An engaging overview program on AI and data, empowering organizations and businesses to capture the big picture, stay ahead of trends, seize application opportunities, and tackle emerging challenges.
Participants: Professionals new to AI and Data Science.
Program Goals:
Gain a big-picture understanding of data, AI, and emerging technologies.
Understand the essence of AI and data science.
Learn the basics of data governance for effective AI applications.
Identify AI opportunities, define the right problems, and work productively with experts.
Hands-on practice with quick AI applications.
Contents: Customized content tailored to each organization and participants’ backgrounds.
Duration: 2–3 days
AI Mastery Track
A specialized and needs-based training program, designed to build skills, introduce tools, and deliver practical applications customized for each industry sector.
Participants:
Participants have clearly identified their AI application needs and the specific AI techniques to be trained (or have completed the AI Horizon Program).
The program is designed for a unit or department with similar professional expertise.
Program Goals:
Provide in-depth training and foundational knowledge of AI techniques.
Support learners in developing the ability to apply AI techniques to their specific work contexts.
Train participants to use essential tools and programming languages.
Facilitate collaboration and project work with AI/Data Science experts and engineers.
Contents:
Topics: Machine Learning, Deep Learning, Data Science, LLMs, or other specialized tools.
The curriculum is optimized for the client’s business needs and technical requirements.
Priority is given to projects directly related to the client’s real use cases.
Duration: 3–6 months
AI Innovation Lab
A collaborative research program focused on co-developing pilots, creating innovative solutions, and enabling technology transfer.
Participants:
Participants already possess foundational knowledge of AI techniques (or have completed the AI Mastery Track).
The program is designed as a strategic initiative for a unit or department with similar areas of expertise.
Program Goals:
Collaborate on research and experimental development of new AI solutions and innovations.
Provide advanced training and technology transfer to enable clients to master new technologies and products.
Contents: The content will be discussed and customized based on the client’s specific needs and industry characteristics.
Duration: Based on the scope of collaboration.
Application of LLM
Application of LLM
Trainees: Business unit employees; no technical expertise required.
Objectives:
Provide an understanding of Large Language Models (LLMs) and the different levels of LLM application in enterprises.
Develop practical skills in applying a structured prompting process to achieve greater accuracy and effectiveness.
Provide an understanding of ethics and information security when using LLM.
Training Format: 30% theory, 70% hands-on practice.
Duration: 2 days.
Instructors: BIGBANGDATA’s team of experts will directly deliver the training and provide hands-on guidance throughout the practical sessions.
Data Governance
Data Governance
Trainees:
Business unit leaders and managers
Business and technical data management professionals
IT, Data & Analytics teams, and other units responsible for data analytics
Objectives:
Provide an overview of Data Governance and its key focus areas.
Share practical experience and provide guidance on a roadmap for implementing a Data Governance program.
Demonstrate how technology can be leveraged to automate and streamline data governance.
Identify common challenges and potential obstacles in implementation.
Training Format: A combination of theoretical knowledge and live demonstrations/hands-on practice using data governance tools.
Duration: 1–1.5 days.
Instructors: BIGBANGDATA’s team of experts will directly deliver the training and provide hands-on guidance throughout the practical sessions.
Master Data Management
Master Data Management
Trainees:
Business unit leaders and managers
Business and technical data management professionals
IT, Data & Analytics teams, and other units responsible for data analytics
Objectives:
Provide an understanding of Master Data Management (MDM) and its key principles.
Share practical experience and provide guidance on a roadmap for implementing an MDM project within an organization.
Demonstrate how technology can be leveraged to manage master data effectively.
Identify common challenges and potential obstacles in MDM implementation.
Training Format: A combination of theoretical instruction and live demonstrations/hands-on practice using MDM tools.
Duration: 1–1.5 days.
Instructors: BIGBANGDATA’s team of experts will directly deliver the training and provide hands-on guidance throughout the practical sessions.
Talent Program NextGenAI
Talent Program NextGenAI
Trainees: University students (the program is completely free of charge)
Objectives:
Provide training programs focused on real-world projects and cutting-edge technologies.
Offer advanced courses to develop students’ professional expertise.
Strengthen teamwork, management, and soft skills.
Create a dynamic, positive, and inspiring environment for the younger generation.
Program Structure
1. Lectures:
Overview of Data in the Enterprise
Required Skills and Working Methodologies in Enterprise Data
Data Platforms and Cloud
Data Governance
Master Data Management (MDM)
Graph Data
AI/ML/BI Applications in the Enterprise
2. Projects:
Machine Learning Model Development Project
RAG-Based Application Development Project
Data Platform Implementation on Azure Cloud
Implementation of a Data Governance Tool and Data Governance Processes
Implementation of an MDM Platform and MDM Processes
Duration: 3 months, expected to run annually from February to April.
NextGenAI 2025
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