- Introduction
- Momentum Trading
- Stock Returns
- Market Mechanics
- Stock Prices
- Data Processing
Online
6 Months
Quick facts
particular | details | |||
---|---|---|---|---|
Collaborators
WorldQuant
|
Medium of instructions
English
|
Mode of learning
Self study, Virtual Classroom
|
Mode of Delivery
Video and Text Based
|
Learning efforts
10 Hours Per Week
|
Course overview
This Artificial Intelligence for Trading certification course is crucial in the world of trading. Big companies use AI analysis to gain investments as it efficiently mitigates risks of the future. This in the end saves ample time and money for the company. Big companies use AI analysis to gain investments as it efficiently mitigates risks of the future. This in the end saves ample time and money for the company.
The Artificial Intelligence for Trading certification by Udacity will make the candidate ready for the future of trading and technology. Master your skills and make yourself stand out of the box in the industry with the Nanodegree Programme in AI for Trading. Become field ready for your job by this finely stitched programme by our faculty which will build you and your skills in every area that is necessary from the comfort of their own home.
Be the best in the field by getting trained under the best who have experience in the industry. The Artificial Intelligence for Trading certification by Udacity is for the candidates who are ambitious and are keen to make their career and future in the field of Artificial Intelligence.
The highlights
- 6 months programme
- 10 hours per week of dedicated learning
- Online programme
- Get certified by Udacity
- Partnership with WorldQuant
Program offerings
- Real-world projects
- Project reviews
- Content co-created with worldquant
Course and certificate fees
The Artificial Intelligence for Trading certification fees are as follows:
Fee Details for Artificial Intelligence for Trading Fees
Base Price | Rs. 1,37,094 |
(Less) Bundle Discount | Rs. 20,580 |
Total Price | Rs. 1,16,514 |
EMI Option | Available |
Fee Details for Artificial Intelligence for Trading (pay as you go)
Head | Amount |
Programme Fees | Rs. 22,849 |
certificate availability
certificate providing authority
Eligibility criteria
Experience
Candidates looking forward to applying for the Artificial Intelligence for Trading online course must have working experience with Python. They should also have functional knowledge of mathematics.
He/she must have worked on Basic Numpy and Basic data structures under Python.
Candidates must be well versed with statistics especially in different areas namely, mode, median, mean, standard deviation, variance, Independence, random variables, normal distribution, distribution, statistical significance, p-value and T-test.
Candidates need to be good with linear algebra and calculus and understand different concepts namely, matrix operations, eigenvalues, eigenvectors, linear independence, linear combination, derivatives and integrals.
Certification qualification
The Artificial Intelligence for Trading training course comprises curriculum, content and 8 projects that need to be completed in 6 months' time. In case, the candidate does not clear these projects then he/she is not entitled to the certificate of completion.
What you will learn
After completing the Artificial Intelligence for Trading certification syllabus, candidates will be learning a series of key skills and knowledge outcomes that will reap benefits. They are listed below:
- Portfolio management, trading signal generation, data processing, and quantitative analysis
- Key dynamics and functionalities of momentum trading strategy
- Generation of signals with the help of stock data
- Implementation of advanced quantitative methods that are utilised in trading
- ETFs, Indices and Stocks (financial securities and portfolio optimization)
Who it is for
Candidates who can enrol in the Artificial Intelligence for the Trading course are:
- Data Analyst
- Programmer
- Computer Programmer
Admission details
Candidates seeking Artificial Intelligence for Trading certification by Udacity must visit the following steps:
Step 1: Click https://www.udacity.com/course/ai-for-trading--nd880
Step 2: There is an Enrol Now Tab on the page. Click it and proceed.
Step 3: Over there you will see that there are two separate fees plans namely, Pay as you go and Pay Upfront.
Step 4: Once the plan is finalised, you will see that if you are a regular user of Udacity then it will return the student tab while new users will see ‘Quick checkout’ as a tab.
Step 5: If you go for Quick checkout then you will require Facebook and Google Id.
Step 6: Then the user will see that details of fees are provided. Then if you have a coupon code, use it and make the payment and if not then check out if the payment needs to be clicked.
Step 7: Now the user will make the payment via different modes.
Step 8: After the payment is done, he/she can easily access the programme.
The syllabus
Course 1: Basic Quantitative Trading
Course 2: Advanced Quantitative Trading
- Regression
- Volatility
- Time Series Modeling
- Quant Workflow
- Pairs Trading and Mean Reversion
- Outliers and Filtering Signals
Course 3: Stocks, Indices and ETFs
- ETFs
- Stocks, Indices and Funds
- Portfolio Optimization
- Portfolio Risk and Return
Course 4: Factor Investing and Alpha Research
- Alpha Factors
- Risk Factor Models
- Advanced Portfolio Optimization with Risk and Alpha Factors Models
- Factors Models of Returns
Course 5: Sentiment Analysis with Natural Language Processing
- Text Processing
- Basic NLP analysis
- Feature Extraction
- Financial Statements
- Intro to Natural Language Processing
Course 6: Advanced Natural Language Processing with Deep Learning
- Sentiment Prediction RNN
- Embeddings and Word2Vec
- Recurrent Neural Networks
- Deep Learning with PyTorch
- Training Neural Networks
- Introduction to Neural Networks
Course 7: Combining Multiple Signals
- Decision Trees
- Overview
- Random Forests
- Model Testing and evaluation
- Overlapping Labels
- Feature Importance
- Feature Engineering
Course 8: Simulating Trades with Historical Data
- Attribution
- Intro to Backtesting
- Optimization with Transaction Costs
Scholarship Details
Candidates can easily avail themselves of scholarships by first visiting the link https://udacity.zendesk.com/hc/en-us/categories/360002443511-Scholarship-Programs. Once you click on the link, you will be directed to a page that has the tab Notify Me. Click ‘Notify Me’ and fill in the details and submit. After submission, candidates will start receiving notifications for the Artificial Intelligence Trading certification course, for which scholarships have been listed on the website.
How it helps
Artificial Intelligence for Trading certification benefits is many. The candidate will get certified by Udacity in partnership with Worldquant. The student will learn quantitative analysis basics and will have an opportunity to work on real-world projects from industry experts which cater from trading strategies to portfolio optimization. We have knowledgeable mentors as technical support to guide the candidate in learning and are always available to help them out.
The candidate will have personal career coaching along with interview advice and help in building a good resume. They will learn to refine trading signals, fundamentals of text processing. Learn in deep about stocks, indices and ETFs along with advanced quantitative trading. At the end Artificial Intelligence for Trading online course, the candidates will become efficient in easily handle trades of big trading industries.
Instructors
Ms Cezanne Camacho
Instructor
Freelancer
M.S, Other Masters
Mr Mat Leonard
Instructor
Freelancer
Ph.D
Mr Arpan Chakraborty
Instructor
Georgia Tech
Ph.D
Ms Elizabeth Otta Hamel
Instructor
Freelancer
Ms Eddy Shyu
Instructor
Udacity
Mr Brok Bucholtz
Instructor
Freelancer
Ms Parnian Barekatain
Instructor
Freelancer
Mr Juan Delgado
Content Developer
Udacity
Other Masters, Ph.D
Ms Cindy Lin
Instructor
Freelancer
FAQs
Nano degree program in Artificial intelligence for Trading certification course is for the candidates who have intermediate knowledge and experience in programming with Python and are also familiar with calculus, statistics, and linear algebra. The candidate should also have intermediate statistical as well as intermediate Calculus and linear algebra knowledge.
Since course is a nanodegree program along with 7-day trial sessions. So it does not have a refund policy. You can opt for ‘Pay as You Go’ payment option, where, pay only for a period of time.
yes, the candidates will be provided with a full group of study material as they complete each stage and as they do their payment. But this material is included with the programme fees structure entirely. So, they will not have to pay any additional fees for the same.
After paying the fees the candidate will be provided with all of them with a license. And if they need any help in installing, they will be helped for the same.
no, the candidate cannot pay the fees in EMI as there are 2 options to pay the fees. The candidate can choose from them as to whichever way suits them.