AI for Data
Master essential Data skills applicable in real workplace scenarios
Join 1-day offline training with proven materials
Sessions are guided by seasoned practitioners
Investment of Rp5.000.000 per participant
Connect with professionals from diverse industries
SYLLABUS
Your Learning Path
Gain a comprehensive understanding of the certification topic through interactive learning and relevant case studies.
AI for Data
Introduction to Generative AI & Prompt Engineering
Master Advanced Techniques to Boost Analysis Accuracy
Automate and Elevate: AI-Powered Reporting
Final Project & Presentation
Introduction to Generative AI & Prompt Engineering
Introduction to Prompt Engineering: Learn the fundamentals of prompt engineering and how it applies to data analysis.
Crafting Effective Prompts: Understand how to create clear, actionable prompts to guide AI responses.
Improving Prompt Performance: Techniques for context setting, zero-shot, few-shot, and chain-of-thought prompting.
Data Preprocessing with GPT: Use GPT for data cleaning, normalization, and text preprocessing.
Exploratory Data Analysis (EDA): Leverage GPT to generate descriptive statistics and identify trends.
Building a Data Analysis Framework: Design a simple GPT-based framework for data preprocessing and exploration.
Hands-on Practice: Implement a data analysis pipeline with GPT to extract insights from real-world data.
Master Advanced Techniques to Boost Analysis Accuracy
Advanced Prompt Engineering: Learn to design complex prompts for nuanced and detailed data analysis tasks.
Prompt Chaining: Break down complex tasks into smaller steps, guiding AI through multi-step reasoning.
Multi-Step Reasoning: Implement logical sequences to enhance accuracy in data analysis.
Customizing Prompts for Specific Data Types: Tailor prompts for different data structures like numerical and textual data.
Optimizing for Data Analysis Goals: Customize prompts for tasks like trend identification, regression analysis, and anomaly detection.
Incorporating Business Rules and Context: Integrate business logic and historical data into prompts to refine AI outputs.
Mitigating Hallucinations, Data Security, and Bias in AI in Analyzing Data
Automate and Elevate: AI-Powered Reporting
Automating Reporting with GPT: Learn how to automate the creation of detailed reports using AI.
Connecting APIs for Seamless Integration: Use APIs to link data sources and automation tools for streamlined workflows.
Real-Time Reporting: Automate real-time updates to reports, providing up-to-date insights on demand.
AI for Data Visualization: Learn how to automatically generate insightful visualizations based on your data.
Building GPT-Powered Data Assistants: Develop intelligent assistants that can produce automated reports and analysis.
Capstone Project: Apply your skills to create a GPT-powered assistant for a real-world application, like reporting or data analysis.
Hands-On Application: Practice creating an AI assistant that integrates with data sources, performs analysis, and automates reporting tasks.
Final Project & Presentation
Final Project: Design an integrated AI-powered data analysis pipeline using GPT.
Present a comprehensive strategy that includes data preprocessing, analysis, and reporting automation.
Receive peer and instructor feedback on your approach.
Hands-on Application: Present your GPT-powered data analysis assistant and explain its functionality and use case.
Tools and Platforms Covered
Key Outcomes
What You Will Bring Back from The Class
Bring back practical tools and insights you can apply directly at work.
Master foundational prompt engineering to leverage GPT for data preprocessing and exploration
Design complex, multi-step prompts for advanced and nuanced data analysis tasks
Automate data reporting, visualization, and insight generation using AI tools
Apply AI to streamline repetitive analytical tasks and enhance productivity
Build and pitch a complete AI-powered data analysis solution using GPT
SYLLABUS
Your Learning Path
Gain a comprehensive understanding of the certification topic through interactive learning and relevant case studies.
AI for Data
Introduction to Generative AI & Prompt Engineering
Introduction to Prompt Engineering: Learn the fundamentals of prompt engineering and how it applies to data analysis.
Crafting Effective Prompts: Understand how to create clear, actionable prompts to guide AI responses.
Improving Prompt Performance: Techniques for context setting, zero-shot, few-shot, and chain-of-thought prompting.
Data Preprocessing with GPT: Use GPT for data cleaning, normalization, and text preprocessing.
Exploratory Data Analysis (EDA): Leverage GPT to generate descriptive statistics and identify trends.
Building a Data Analysis Framework: Design a simple GPT-based framework for data preprocessing and exploration.
Hands-on Practice: Implement a data analysis pipeline with GPT to extract insights from real-world data.
Master Advanced Techniques to Boost Analysis Accuracy
Advanced Prompt Engineering: Learn to design complex prompts for nuanced and detailed data analysis tasks.
Prompt Chaining: Break down complex tasks into smaller steps, guiding AI through multi-step reasoning.
Multi-Step Reasoning: Implement logical sequences to enhance accuracy in data analysis.
Customizing Prompts for Specific Data Types: Tailor prompts for different data structures like numerical and textual data.
Optimizing for Data Analysis Goals: Customize prompts for tasks like trend identification, regression analysis, and anomaly detection.
Incorporating Business Rules and Context: Integrate business logic and historical data into prompts to refine AI outputs.
Mitigating Hallucinations, Data Security, and Bias in AI in Analyzing Data
Automate and Elevate: AI-Powered Reporting
Automating Reporting with GPT: Learn how to automate the creation of detailed reports using AI.
Connecting APIs for Seamless Integration: Use APIs to link data sources and automation tools for streamlined workflows.
Real-Time Reporting: Automate real-time updates to reports, providing up-to-date insights on demand.
AI for Data Visualization: Learn how to automatically generate insightful visualizations based on your data.
Building GPT-Powered Data Assistants: Develop intelligent assistants that can produce automated reports and analysis.
Capstone Project: Apply your skills to create a GPT-powered assistant for a real-world application, like reporting or data analysis.
Hands-On Application: Practice creating an AI assistant that integrates with data sources, performs analysis, and automates reporting tasks.
Final Project & Presentation
Final Project: Design an integrated AI-powered data analysis pipeline using GPT.
Present a comprehensive strategy that includes data preprocessing, analysis, and reporting automation.
Receive peer and instructor feedback on your approach.
Hands-on Application: Present your GPT-powered data analysis assistant and explain its functionality and use case.
Introduction to Generative AI & Prompt Engineering
Master Advanced Techniques to Boost Analysis Accuracy
Automate and Elevate: AI-Powered Reporting
Final Project & Presentation
Key Outcomes
What You Will Bring Back from The Class
Bring back practical tools and insights you can apply directly at work.
Master foundational prompt engineering to leverage GPT for data preprocessing and exploration
Design complex, multi-step prompts for advanced and nuanced data analysis tasks
Automate data reporting, visualization, and insight generation using AI tools
Apply AI to streamline repetitive analytical tasks and enhance productivity
Build and pitch a complete AI-powered data analysis solution using GPT
Trusted for Impactful Learning
Past Companies Who Learned Data with RevoU
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RevoU Learning Method
More Modern, More Interactive, More Effective
Setting a new standard in certification training, RevoU prepares you thoroughly for real industry challenges.
Top Trainers & Mentors
Receive full support from experienced trainers and mentors throughout the training, portfolio building, and assessment process.
Comfortable Facilities & Locations
Training is held in comfortable, accessible venues, complete with full logistics, meals, and high-quality amenities.
Interactive Learning
Go beyond learning from slides. Peer reviews, group discussions, and quizzes make the learning experience more engaging and effective.
Meaningful Networking
Connect with professionals from diverse industries to exchange ideas and grow your network—during and after the training.
Modern Learning Materials
Learning materials such as videos, infographics, and interactive presentations help participants understand concepts more easily.
WHY RevoU
Why Choose Short Courses?
Small Group, Maximum Impact
With a compact class size, we ensure every participant gets personalized feedback, focused attention, and a collaborative learning experience.
Ready-to-Go Training
No need to spend weeks on planning. Just choose a date, enroll, and begin upskilling your team with proven materials.
Multi Industry Networking
Expose your team to real-world case studies, fresh insights, and problem-solving strategies beyond your own company walls.
Led by Industry Experts
Sessions are guided by seasoned practitioners who bring real-world experience and most up-to-date insights to every class.
FAQ
Frequently Asked Questions
RevoU Offline Short Course is a 1–2 day in-person training designed to help you focus on one specific topic. It’s practical, interactive, and guided by experienced professionals, ideal if you want to improve your skills without committing to a long program.
All of short course classes are held offline at Gowork RDTX Square, Jakarta. If you don’t see a batch that works for you, just reach out to us, we’re happy to explore options with you.
Yes If you have at least 10 people, we can do a class takeover. From the topic to the schedule and location, we’ll make it work for you.