Artificial Intelligence Deep stack Program ®
32 hours of lecture, 25 hours of course work every week
Artificial intelligence refers to systems or machines that mimic human intelligence to perform tasks and can iteratively improve themselves based on the information they collect. Enterprises are increasingly recognizing the competitive advantage of applying AI insights to business objectives and are making it a business wide priority. For example, targeted recommendations provided by AI can help businesses make better decisions faster. Many of the features and capabilities of AI can lead to lower costs, reduced risks, faster time to market, and much more. Hence this field is in higher demand now more than ever. This Deep stack program ® is intended for anyone who has interest in data and is looking for that guided approach to becoming a data engineer in 4 months. In this bootcamp, you’ll get a firm foundation in Python and Statistics while you work through key concepts in Artificial Intelligence. You’ll walk away with practical knowledge in machine learning algorithms and deep learning algorithms applicable to a variety of data science and artificial intelligence problems.
Interview : Getting to know about the program and you!
Once you apply to the program, you will be invited to a virtual interview. Upon selecting a suitable date you will be sent some preparation materials for the interview. In the interview, we will discuss the program in depth, answer your questions, get to know you and will evaluate your technical skills based on the materials sent to you. Based on the outcome of the interview, you will either get accepted or declined to the program.
Pre-coursework : Python Basics for Data Science
Weeks before the start of the program, you will learn the basics of Python for Data Science to get comfortable with programming and some math.
1 month.
Module 1-8 : Machine Learning Algorithms
In the first 4 weeks of the program, you will learn the key Machine Learning Algorithms that applies to Classification, Regression, Clustering and few other types of data science problems by working on some practical problems in the industry. You will learn to write these algorithms using Python in the cloud.
1 month.
Module 9-23 : Deep Learning Algorithms
During the next 2 months, you will learn all the algorithms associated with some of the common artificial intelligence problems in the industry such as ANN, CNN, RNN and more. You will learn to write these algorithms using Python, Tensorflow and other popular libraries available for AI in the cloud.
2 months.
Module 24-30 : Practical Application for AI
In the remaining weeks, you will learn to build a practical application in AI using robotics.
3 weeks.
Module 31-32 : Interview Preparation
In the last week of the program, you will learn some of the interview questions and challenges to get ready for the interviews.
1 week.
Cost of the Program
(Non-Refundable)- Classes are offered online only
- Attend class anywhere, anyplace
- Class recordings will be provided
- Small cohort size for one-on-one attention
- Build several projects for your portfolio
- TA support
- Certificate of completion
January 2025 Cohort
| Enroll By | December 15th 2024 |
| Class Begins | January 4th 2025 |
| Class Ends | April 20th 2025 |
| Day of the week | Saturday, Sunday |
| Time of the day | 8:45 am to 9:45 am PST |
May 2025 Cohort
| Enroll By | April 15th 2025 |
| Class Begins | May 3rd 2025 |
| Class Ends | September 7th 2025 |
| Day of the week | Saturday, Sunday |
| Time of the day | 8:45 am to 9:45 am PST |
September 2025 Cohort
| Enroll By | October 15th 2025 |
| Class Begins | September 20th 2025 |
| Class Ends | January 18th 2026 |
| Day of the week | Saturday, Sunday |
| Time of the day | 8:45 am to 9:45 am PST |
Career Path
This bootcamp
This bootcamp will prepare you for an entry level engineer role in 4 months and also have a portfolio of projects that you can showcase
Challenges
To build your portfolio participate in more challenges from Kaggle , DrivenData and more. You have a lot to gain and practically nothing to lose by participating in these competitions.
Resume Preparation
Now that you are prepared technically, lets get your resume and LinkedIn all ready for potential employers to notice your skills.
Apply for jobs
Let’s get your resume out the door by applying for jobs on recruiting sites, LinkedIn and others. We will also share your resume with our partners to find the best match.
I was lucky to get the chance to attend both Software engineering and machine learning programs in Kal academy. Both courses were very helpful in advancing my carrier to the IT industry. Kal is one of the best teachers I have known. She explains the concepts easily, clearly and in detail. All group projects and assignments were very helpful in shaping my understanding in the area. In addition to that, she provides a high level of support and continuous follow up in job finding by sending out information about hiring events, apprenticeship programs, direct job interviews etc… . I highly recommend Kal academy to anybody who is looking for joining the IT world.
Kal helped me to get an internship at Microsoft.
I leaned a lot from Kal academy. I took data structures & algorithms classes and AI bootcamp with Kal. The classes are very helpful. I learned not only the skills for passing the interviews but also the hot skills that most companies would like you to have. If you are looking for a tech job I highly recommend Kal academy. Oh and Kal is a very nice and smart teacher. You will be happy in the class to learn with her.
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