Generate Insights with LLMs

This course is part of AI Techniques, Causal Inference & Business Optimization Specialization

Instructor: Hurix Digital

Access provided by Capgemini

4 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

4 hours to complete

Flexible schedule

Learn at your own pace

4 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

4 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Measure and improve LLM output quality using metrics like ROUGE and BLEU to systematically enhance executive business communications.
Design scalable data-to-text pipelines by integrating SQL data sources, Python processing, and LLM APIs for automated reporting.
Apply human-in-the-loop evaluation to complement automated metrics and assess relevance, clarity, and real business value of outputs.
Make cost-performance trade-offs by comparing open-source and commercial LLMs based on cost, latency, and enterprise needs.

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

8 assignments¹

AI Graded see disclaimer

Taught in English

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Build your subject-matter expertise

This course is part of the AI Techniques, Causal Inference & Business Optimization Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 4 modules in this course

Transform your data into strategic business intelligence with the power of large language models. This Short Course was created to help data analysts accomplish automated insight generation from complex datasets.

By completing this course, you'll master practical LLM applications that turn raw data into compelling executive narratives, build automated reporting pipelines, and optimize model performance for real-world business scenarios. By the end of this course, you will be able to: Generate executive-ready briefs using tuned LLM prompts with measurable quality scores Build end-to-end data-to-text automation pipelines combining SQL, Python, and LLM APIs Fine-tune small language models and evaluate performance improvements through human assessment Conduct cost-benefit analysis comparing open-source and commercial LLM solutions This course is unique because it bridges the gap between technical LLM capabilities and practical business applications, focusing on measurable outcomes and real-world implementation challenges. To be successful in this project, you should have a background in Python programming, SQL queries, and basic understanding of API integrations.

Learners will apply LLMs to generate first-draft executive briefs that summarize model insights and refine prompts to meet specified ROUGE or BLEU scores.

What's included

2 videos1 reading2 assignments

2 videos Total 10 minutes

Building Effective Prompts for Executive Brief Generation 7 minutes
Demonstrating LLM Brief Generation with OpenAI API 3 minutes

1 reading Total 12 minutes

LLM-Powered Executive Brief Generation: Foundations and Quality Metrics 12 minutes

2 assignments Total 21 minutes

Build Your First LLM Executive Brief Generator 15 minutes
Executive Brief Generation Assessment 6 minutes

Learners will create comprehensive data-to-text pipelines that combine SQL, Python, and LLM APIs to automatically transform KPI (Key Performance Indicator ) tables into narrative summaries.

What's included

3 videos1 reading1 assignment1 ungraded lab

3 videos Total 15 minutes

The Power of Automated Data Storytelling 4 minutes
SQL to Python to LLM: Pipeline Component Integration 7 minutes
Building Your First Data-to-Text Pipeline 5 minutes

1 reading Total 10 minutes

Architecture and Components of Data-to-Text Pipelines 10 minutes

1 assignment Total 7 minutes

Data-to-Text Pipeline Assessment 7 minutes

1 ungraded lab Total 18 minutes

Building Production-Ready Sales Intelligence Pipeline 18 minutes

Learners will fine-tune small LLMs on company FAQs and measure improvement in response relevance through systematic human evaluation.

What's included

2 videos2 readings2 assignments

2 videos Total 11 minutes

Human Evaluation Methodologies for LLM Fine-tuning Assessment 7 minutes
Fine-tuning a Small LLM on Company FAQ Data 4 minutes

2 readings Total 16 minutes

Fine-tuning Methodologies and Human Evaluation Frameworks 11 minutes
Podcast: From Generic to Domain-Specific: LLM Customization Success Stories 5 minutes

2 assignments Total 23 minutes

Design and Execute LLM Fine-tuning Evaluation Study 17 minutes
LLM Fine-tuning and Evaluation Assessment 6 minutes

Learners will evaluate cost vs. latency trade-offs between open-source and commercial LLMs for real-time chat applications through systematic analysis.