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AI and Machine Learning in Finance Course
AI and Machine Learning in Finance Course
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2348 Learners4.1 950 Ratings
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Live Online Classes starting on 18th May 2024
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Instructor-led AI Finance live online Training Schedule
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Price 49,99944,999
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Why enroll for AI and ML in Finance Course?
AI in Finance Course Benefits
Mordor Intelligence reported that AI in the Fintech market is projected to grow from $44.08 billion in 2024 to $50.87 billion in 2029 at a CAGR of 2.91%. This specialized course helps learners to leverage AI for different financial tasks, increase operational efficiency, and reduce task completion time. Also, this certification will help learners to keep up with the latest developments in the industry and stand out in the job market with this unique certification. Join us now to elevate your career to the next level.
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Why AI and ML in Finance Course from edureka
Live Interactive Learning
- World-Class Instructors
- Expert-Led Mentoring Sessions
- Instant doubt clearing
Lifetime Access
- Course Access Never Expires
- Free Access to Future Updates
- Unlimited Access to Course Content
24x7 Support
- One-On-One Learning Assistance
- Help Desk Support
- Resolve Doubts in Real-time
Hands-On Project Based Learning
- Industry-Relevant Projects
- Course Demo Dataset & Files
- Quizzes & Assignments
Industry Recognised Certification
- Edureka Training Certificate
- Graded Performance Certificate
- Certificate of Completion
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About your AI and ML in Finance Course
AI in Finance Course Skills Covered
Tools Covered in AI for Finance Course
AI in Finance Course Curriculum
Curriculum Designed by Experts
Artificial Intelligence for Finance
6 Topics
Topics:
- Introduction to AI and ML for Finance
- Applications of AI in Finance
- Importance of Data
- Data Analysis Using Excel
- Financial Data Analysis using ChatGPT
- Acquiring Insights using ChatPDF
![skill]( "Hands On Experience")
- Data Analysis using Excel
- Financial Data Analysis using ChatGPT
- Acquiring Insights using ChatPDF
![skill]( "skill you will learn")
- Data Analysis
- Extracting Insights
Financial Operations with Booke.ai and Trullion
9 Topics
Topics:
- Setup and Synchronization
- Transaction Review
- Auto-categorization
- Extract Data from Invoices
- Dashboard
- Financial Oversight
- Revenue Recognition
- Audits
- Lease Accounting
![skill]( "Hands On Experience")
- Intelligent bookkeeping with Booke.ai
- Working with Trulion
![skill]( "skill you will learn")
- Auto-categorization
- Transaction Review
- Extracting Data from Invoice
- Bookkeeping
- Auditing with Trulion
Using Clickup for Accounting
12 Topics
Topics:
- Creating an account in ClickUp
- ClickUp personalization
- Selecting a template
- ClickUp dashboard page
- Adding a space
- Adding folders
- Naming convention
- Creating a new folder
- Creating lists
- Layout settings
- Accounting with Clickup
- Bookkeeping with Clickup
![skill]( "Hands On Experience")
- Working with Clickup
![skill]( "skill you will learn")
- Managing Accounts and Finances
- Custom Reports and Dashboards
Financial Analysis using FinanceGPT
5 Topics
Topics:
- Financial Analysis
- Financial Data Management
- Scenario Analysis
- Asset and Portfolio Analysis
- Financial Plan Analysis
![skill]( "Hands On Experience")
- Working with FinanceGPT
![skill]( "skill you will learn")
- AI-powered Financial Analysis
- Leveraging AI for Financial Data Management
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About the AI for Finance Course
About AI in Finance Course
Embark on a transformative journey with our AI for Finance Course, which provides a thorough examination of essential concepts and practical applications in financial technology. Dive into subjects such as AI-fueled financial analysis, automated bookkeeping with Booke.ai, and advanced accounting methods using ClickUp. Acquire practical experience with state-of-the-art tools like ChatGPT and FinanceGPT, honing skills in data analysis, insight extraction, and AI-driven financial management. Wrap up the course with a final project to demonstrate your proficiency and preparedness for real-world implementation in the finance sector.
What are the learning outcomes of this AI in Finance Course?
Upon the successful completion of the AI in Finance course, participants will attain:
- Understand artificial intelligence and machine learning principles specifically crafted for the financial sector, encompassing their applications and importance in financial decision-making.
- Leverage AI tools for data analysis for well-informed decision-making.
- Derive valuable insights from financial data.
- Obtain practical competencies in automated financial management procedures
- Develop proficiencies in integrating AI technologies into financial data management processes.
Upon the program's conclusion, participants will possess the knowledge and practical proficiencies essential to excel at the crossroads of artificial intelligence and finance, primed to foster innovation and efficiency in financial operations and decision-making procedures.
Why take up this AI for Finance Course?
Enroll in the AI in Finance Course to develop proficiency at the crossroads of finance and AI, opening doors to career prospects in a dynamic industry. Obtain hands-on expertise in examining financial data, streamlining tasks, and fostering creativity, establishing yourself as a beneficial resource in the financial field. Keep abreast of the latest trends by becoming an expert in AI technologies customized for finance, guaranteeing relevance and a competitive edge in today's job market.
Who should take up this AI for Finance Course?
Professionals in finance seeking to enhance their analytical skills and leverage AI technologies for data-driven decision-making. Individuals aspiring to pursue careers in financial analysis, risk management, or algorithmic trading. Anyone interested in exploring the transformative potential of AI in the finance industry, regardless of their background or expertise
What are the prerequisites for this AI in Finance Course?
The AI in Finance Course requires a fundamental grasp of finance concepts and a strong knowledge of mathematics and statistics. Moreover, having a prior understanding of machine learning basics and familiarity with data analysis would be advantageous for understanding the topics covered in this course.
What are the system requirements for this AI in Finance course?
The system requirements for the AI in Finance course include:
- A laptop or desktop computer with a minimum of 8 GB RAM with Intel Core-i3 and above processor to run NLP and machine learning models is required.
- Stable and high-speed internet connection is necessary for accessing online course materials, videos, and software.
How will I execute the practicals in this AI for Finance Course?
Detailed step-by-step practical guides are available on the LMS. In case you come across any doubt, the 24*7 support team will promptly assist you.
AI in Finance Course Projects
Financial Data Analysis
A financial institution is required to analyze extensive amounts of customer feedback data in order to detect patterns and gain valuable insights for enhancing products and ensur....Wealth Management Analysis with AI
A firm specializing in wealth management seeks to evaluate the potential consequences of different market scenarios on client portfolios in order to enhance investment strategies....AI in Finance Certification
To unlock Edureka’s AI in Finance Course course completion certificate, you must ensure the following:
- Completely participate in this AI for Finance Course.
- Evaluation and completion of the quizzes and projects listed.
An AI in Finance Certification showcases expertise in applying AI in finance, improving career opportunities and industry significance. It empowers people with hands-on experience in utilizing AI technology for functions like analyzing data and evaluating risks, giving them a edge in the employment field. Moreover, it acts as a stimulant for creativity, empowering individuals to lead AI-driven changes in financial institutions.
After obtaining certification in AI in finance, individuals can pursue various job roles, including:
- Data Analyst
- Financial Analyst
- Risk Analyst
- Quantitative Analyst
- Machine Learning Engineer
- Financial Consultant
These positions cover a wide range of industries in the financial sector, providing a range of opportunities for AI experts to contribute to the sector's growth and change.
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Title
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The Certificate ID can be verified at www.edureka.co/verify to check the authenticity of this certificate
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AI in Finance Course FAQs
How AI is changing the financial landscape?
As per a recent report by Delloitte, the Financial Services Industry has stepped into the era of Artificial Intelligence (AI) in the digital journey, which commenced with the rise of the internet and has guided organizations through various phases of digitalization. The emergence of AI is transforming the landscape of the industry, loosening the ties that have bound the elements of traditional financial institutions and paving the way for more innovations and novel operating models.
Will I get placement assistance after completing this AI in Finance Course?
To help you in this endeavor, we have added a resume builder tool in your LMS. Now, you will be able to create a winning resume in just 3 easy steps. You will have unlimited access to use these templates across different roles and designations. All you need to do is, log in to your LMS and click on the "create your resume" option.
Who are the instructors for AI for Finance Course?
All the instructors at edureka are practitioners from the Industry with a minimum of 10-12 yrs of relevant experience. They are subject matter experts and are trained by edureka for providing an awesome learning experience to the participants.
What if I have more queries after completion of the AI in Finance Course?
Just give us a CALL at +91 98702 76459/1844 230 6365 (US Tollfree Number) OR email at sales@edureka.co.
What if I miss a class of AI in Finance Course?
You will never miss a lecture at Edureka! You can choose either of the two options:
- View the recorded session of the class available in your LMS.
- You can attend the missed session, in any other live batch.
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