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AI-Powered Financial Content Creation

Turning Financial Data into Stories with AI

  • Duration

    15 Hours

  • Schedule

    9 – 11 September 2025
    09.00 – 15.00 WIB

  • Habitare

    Jl. H. R. Rasuna Said No.Kav.20, Karet Kuningan, Kecamatan Setiabudi, Jakarta Selatan 12940

  • Investment

    Rp. 5.550.000

WORKSHOP STARTS IN

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Overview

This 15-hour training is tailored for content, marketing, and creative professionals working in but not limited to the financial sector. The workshop empowers participants to leverage Generative AI for producing data-driven engaging financial content ranging from market trend analysis to sector performance highlights. Using live financial datasets accessed via Sectors App, participants will master the AI content pipeline: ideation, generation, refinement, and distribution across text, image, video, and audio. The program includes foundational AI theory, hands-on practice with top-tier tools, brand alignment strategies, and basic automation workflows with agentic AI. No technical background is required.

Course Syllabus

  • What is Artificial Intelligence? (AI vs ML vs Deep Learning)
  • Understanding Neural Networks and how models learn
  • Generative AI and its rise in content creation
  • Introduction to LLMs (ChatGPT, Claude, Gemini) and multimodal models
  • AI vs Human Creativity: Myths, Limits, Possibilities
  • The new content workflow powered by AI
  • Financial data as content foundation: why it matters
  • Text, image, video, audio outputs in finance contexts
  • Use cases in banking, investment, and fintech content
  • Overview of tools: ChatGPT, Midjourney, Runway, ElevenLabs, and more
  • Prompt anatomy: role, instruction, context, constraint
  • Prompting styles for stock analysis, macro updates, sector summaries
  • Few-shot vs zero-shot prompting
  • Hands-on: Tune prompts using Sectors data for better results
  • Generating post ideas on market insights, sector reports
  • AI-assisted campaign and content calendar planning
  • Using LLMs to explore trends in finance
  • Hands-on: Build a content brief based on current Sectors data
  • Writing financial articles, newsletters, investor summaries
  • Tone guidance for different financial audiences
  • Editing and versioning with AI
  • Hands-on: Create and revise an 800-word market outlook article
  • Generating posts like “How BBRI Stock Moved in the Last 2 Weeks”
  • AI-assisted financial captions, tweets, and ad copy
  • Tailoring tone for LinkedIn, X, and IG finance audiences
  • Hands-on: Create a multi-platform short-form post based on Sectors API data
  • Generating posts like “How BBRI Stock Moved in the Last 2 Weeks”
  • AI-assisted financial captions, tweets, and ad copy
  • Tailoring tone for LinkedIn, X, and IG finance audiences
  • Hands-on: Create a multi-platform short-form post based on Sectors API data
  • Writing scripts for explainers (e.g., “What Happened to IDX30 This Week?”)
  • Storyboarding financial content
  • Overview of tools: Runway, Pika Labs, Descript
  • Hands-on: Draft a 1-minute financial update video concept
  • Generating finance-themed voiceovers for reels, updates
  • Using tools like ElevenLabs or Murf for narration
  • Script and sync concepting for podcasts or market updates
  • Hands-on: Create a voiceover for a financial sector summary post
  • Combining copy, images, audio into cohesive financial content kits
  • Using Canva, Flora AI, and Focal ML for layout and packaging
  • Output formats: stories, reels, reports, infographics
  • Hands-on: Build a publish-ready financial campaign asset pack
  • Enhancing AI outputs for brand consistency and financial tone
  • Converting long-form outlooks to tweet threads or summaries
  • Repurposing financial content across different mediums
  • Hands-on: Adapt a newsletter into a LinkedIn carousel and Twitter thread
  • Training LLMs to follow your financial brand tone
  • Developing reusable prompt templates for consistent quality
  • Human-in-the-loop review and refinement process
  • Hands-on: Create a brand voice guide + AI prompt blocks
  • Financial data accuracy and disclosure
  • Avoiding hallucination and misrepresentation in market info
  • Copyright, privacy, and attribution best practices
  • Ethical prompt writing and transparency in AI-assisted finance content
  • Concept of agentic AI for content pipelines in financial teams
  • Tools: n8n, Zapier, Make.com for AI task automation
  • Building content flows from idea → post → distribution
  • Hands-on: Automate a workflow to generate and distribute a weekly market recap

Course Receivables

  • Lecturer’s Notes

    Including Course Books (PDF), HTML files, course transcripts (if any).

  • Highly-accelerated Learning

    Learn under the assistance of mentorship of our lead instructor and a band of qualified teaching assistants throughout each course.

  • Certification of Completion

    Show current employer hat you’ve completed the course with a signed certificate of completion.

  • Quality Learning Environment

    We pay meticulous attention to the logistical details of our workshops: quality audio and visual setups, comfortable sitting arrangements, and small group size.

  • Refreshments & Coffee Break

    In our commitment to delivering a premium experience, we collaborate with leading catering services in Jakarta. Our aim is to ensure that all participants are served delectable lunches and revitalizing coffee breaks.

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ABOUT THIS SERIES

Courses in this series cater to a diverse audience: from casual learners and working professionals to those venturing into data science and machine learning without a programming background.

We recognize that many students may not have prior expertise in statistics, mathematics, or algebra. Therefore, our courses are designed with a gentle learning curve, placing a strong emphasis on hands-on experience and individualized instruction. Our dedicated team of instructors and teaching assistants ensure personalized guidance every step of the way.

Teaching Methodology

Students work through tons of real-life examples using sample datasets donated by our mentors and corporate partners. We believe in a learn-by-building approach, and we employ instructors who are uncompromisingly passionate about your growth and education.

YOUR INSTRUCTOR

Muhammad Dzaky Jayalaksono
Business Intelligence Instructor at Algoritma Data Science School

Dzaky has a strong understanding and proficiency in platforms for business analytics, enabling valuable insights for data-driven decision-making. As a detail-oriented professional, He possesses the technical thinking skills to identify innovative solutions for business problems and is deeply committed to the company’s advancement. Orchestrating the end-to-end business intelligence process from defining the business problem to conducting thorough analysis, visualizing insights, and deploying impactful dashboards. Bring a comprehensive skill set to drive the entire lifecycle of business intelligence. He is motivated to continuously learn and grow, keep collaborating, and provide exceptional abilities to drive success.

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Get In Touch

PT. Algoritma Data Indonesia.
RDTX Square, 9th Floor. Setiabudi, DKI Jakarta 12930.
Office: 0816-692-471
Email: community@algorit.ma

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