Managing personal finances has traditionally required time, effort, and expertise—but artificial intelligence is changing the game. AI-powered tools are now helping individuals budget more accurately, save automatically, and make informed investment decisions with less stress and greater precision.

This course introduces participants to the growing field of AI in personal finance. From smart budgeting apps and robo-advisors to automated savings plans and AI-driven risk assessments, the course equips learners with the knowledge and confidence to take control of their financial lives. It also explores the ethical use of financial AI, data privacy, and how to evaluate different tools based on personal goals.

By the end of this course, participants will be able to:

  • Understand how AI is used in personal financial management.
  • Use AI tools for real-time budgeting and expense tracking.
  • Automate savings based on behavioral and spending patterns.
  • Explore robo-advisors and intelligent investment platforms.
  • Evaluate the risks, fees, and benefits of AI-based financial tools.
  • Recognize ethical and data privacy concerns in financial tech.
  • Design a personalized AI-powered financial wellness plan.

This course is ideal for:

  • Individuals seeking better control over their personal finances.
  • Young professionals building savings and investment strategies.
  • Financial coaches and advisors exploring AI tools for clients.
  • Fintech developers and UX designers.
  • Students and educators in finance, economics, or data science.
  • Anyone interested in using AI to make smarter money decisions.

This course combines live tool demonstrations, guided financial planning exercises, peer discussions, and case study reviews. Participants will work hands-on with budgeting and investment platforms, analyze their financial behavior, and develop a practical plan for using AI to support financial wellbeing.

Day 5 of each course is reserved for a Q&A session, which may occur off-site. For 10-day courses, this also applies to day 10

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Section 1: Introduction to AI in Personal Finance

  • Overview of AI in consumer finance and money management
  • Key technologies: machine learning, recommendation engines, chatbots
  • Common categories: budgeting apps, robo-advisors, savings tools
  • From reactive to proactive financial planning
  • Examples: Mint, YNAB, Cleo, Digit, Betterment, Wealthfront
  • Case study: How AI helped users reduce debt and save faster

 

Section 2: Smart Budgeting and Expense Tracking

  • AI tools for automatic expense categorization
  • Personalized spending alerts and recommendations
  • Linking multiple accounts and analyzing financial behaviors
  • Budget setting based on past data and upcoming goals
  • Daily, weekly, and monthly reporting with AI dashboards
  • Hands-on demo: Comparing budgeting apps and features

 

Section 3: AI-Driven Saving Solutions

  • Behavioral nudges and automated savings triggers
  • Dynamic savings plans based on income and spending
  • AI tools that round up purchases and move funds automatically
  • Emergency fund planning with predictive models
  • Building habit-based savings strategies
  • Reviewing apps like Digit, Qapital, and Chime

 

Section 4: Investing with AI and Robo-Advisors

  • Understanding robo-advisors: how they work, what they offer
  • AI-based portfolio management and rebalancing
  • Risk profiling, tax-loss harvesting, and long-term planning
  • Comparing robo-advisors vs. traditional advisors
  • Ethical investing and ESG-focused AI platforms
  • Demo: Creating a sample portfolio using a robo-investment tool

 

Section 5: Privacy, Ethics, and Financial Wellness Planning

  • Data privacy in fintech: how your financial data is used
  • Ethical considerations in AI financial recommendations
  • Avoiding overdependence on automation
  • Evaluating financial tools: fees, transparency, usability
  • Building a custom AI-enhanced financial wellness strategy
  • Final exercise: Mapping your personal finance ecosystem with AI

Upon successful completion of this training course, delegates will be awarded a Holistique Training Certificate of Completion. For those who attend and complete the online training course, a Holistique Training e-Certificate will be provided.

Holistique Training Certificates are accredited by the British Accreditation Council (BAC) and The CPD Certification Service (CPD), and are certified under ISO 9001, ISO 21001, and ISO 29993 standards.

CPD credits for this course are granted by our Certificates and will be reflected on the Holistique Training Certificate of Completion. In accordance with the standards of The CPD Certification Service, one CPD credit is awarded per hour of course attendance. A maximum of 50 CPD credits can be claimed for any single course we currently offer.

  • Course Code PI2-120
  • Course Format Classroom, Online,
  • Duration 5 days

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