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Question 1

Introduction to AI/ML Interview Preparation Program

Understanding & Evaluating the learner Knowledge on AI/ML/Data Science
What companies are expecting from Data Science/AI/ML Candidates?
We showcase multiple roles and responsibilities of Data Science/AI/ML job profiles
We design a roadmap to achieve those roles and responsibilities with various live projects to work and to place in your resume.

Question 2

Real-Time Project Lifecycle of AI/ML Engineer

9 Major Components of AI Project
Different Teams involved in AI Project Delivery Cycle
What is the roles & responsibilites of AI/ML Engineers based on different years of experience?
What companies are expecting from different experience level candidates?
What is AGILE Methodology?
What is AGILE CRISP Methodology and Why it is needed in companies for AI/ML Projects?
How to design AI Project Plan, Scope Document, Execution Plan, AI Solution Architecture, Work Breakdown Structure, e.t.c.?
In-Depth about AGILE CRISP Methodology and various deliverables.

Question 3

First Stage of AI/ML Project: Business Problem & Business Understanding

Understanding Business Objective of AI Project
Background of the business
Business Success Criteria of AI/ML Project
Resources allocation for AI/ML Project
Requirements, Assumptions & Constraints of AI Project
Risk & Contingencies of AI/ML Project
Cost & Benefit of implementing the Live AI Project
Costing for constructing POC on AI Project
AI/ML Project Goals
AI/ML Project Success Criteria
AI/ML Live Project Plan
AI/ML Continuous Intergration Architecture.
PRACTICAL: Developing Project Charter, Project Plan, Work Break Down Structure, Building Scope & Execution Plan

Question 4

Second Stage of AI/ML Project: Data Collection & Understanding

Understanding different Data Collection Techniques
Exploring different situations & challenges while doing data collection in real-time
Teams involved in Data Collection Phase in Real-Time
KT from the Client after Data Collection
Domain Explaination from SME
Data Engineer involvement in Data Collection Phase
Need to SQL in Data Collection Phase
Delivering Initial Data Collection Report
Delivering Data Description Report
Delivering Data Exploration Report
Delivering Data Quality Report
How real time clients feedbacks going to look like in Data Collection & Data Understanding Phase?
Hands-On Experience in Class
Best Practices to follow while doing Data Collection & Data Understanding

Question 5

Third Stage of AI/ML Project: Data Preparation

Different types of Data cleaning & Data reshaping need to performed based on different algorithms we are choosing
Rationale for inclusion/Exclusion of Data
Dervied Features & Generated Features
Merging Data based on Project Requirement
Reformatting the data based on the project
Dataset Description about features
Importance of features
Data Cleaning Report
Hands-On in class Activity

Question 6

Fourth Stage of AI/ML Project: Modeling

How to choose right technique or algorithm based on the AI Solution?
Why math plays a crucial role in choosing the right algorithm for AI/ML Solution?
Math behind the Modeling Techniques
Modeling Assumptions
Model Description
Model Test Design
Model Assessment
Continuous revision of Model Parameters
Best Practices while choosing right Modeling technique

Question 7

Fifth Stage of AI/ML Project: Evaluation

Assessment of AI/ML Results with respect to business success criteria
Best Approved Models
Explaining the Evaluation results with Client
Train, Test & Validation set Evaluation and purpose of them
List of Possible Action Decision
Best practices of Model Evaluation
How to choose right evaluation techniques?

Question 8

Sixth Stage of AI/ML Project: Deployment

Different Modes of Deployment
Importance of Deployment, Monitoring the Model
Deployment vs Release
Deployment Plan
Mointoring & Maintenance Plan
Different Tools & Techniques while doing Deployment
AWS Sagemaker Deployment, Heroku Deployment, Mobile Deployment using Tensorflow Lite
Plan of Actions from Monitoring & Maintenance and revising the other stages of AI/ML Project
Final Report
Final Presentation on AI/ML Project
Experience Documentation of AI/ML Project
Hands-On Live Activity in Class

Question 9

Interview Preparation Plan

How to prepare your resume?
Interview Recordings of placed participants
How to prepare for interviews?
How to speak in interviews?
Do's and Don'ts in AI Interviews
How to build your linkedin profile?
Do's and Don'ts in linkedin profile, naukri profile, dice profile
How to sell yourself in interviews?
What an interviewer expects from you?
Different ways to market your resume
Interview Demonstration based on above points
Mock interview

Question 10

One-on-One call consulting until you get placed by our Trainer Mr. Kanth

Question 11

AI/ML Interview Preparation Program, Is it for beginners?

Answer

No, it's not for beginners. Atleast two to three ML Algorithm knowledge is required.

Question 12

Why choose this AI/ML Interview Preparation Program?

Answer

If you are struggling with AI/ML Interviews due to lack of real-time projects or unable to get interview calls or unable to crack interviews. AI/ML Interview Preparation Program is the solution.

Question 13

Any frequently asked Interview Questions?

Answer

Yes, 80% of interview questions come from this program based on previous learners experience.

Question 14

Do I get live projects to place in Resume?

Answer

Yes, you get the live projects to place in your resume.

Question 15

Do I get support after AI/ML Interview Preparation Program?

Answer

Yes, until you get placed as AI/ML Engineer our trainers going to help you.

Question 16

Do I get the recordings?

Answer

Yes, you the recordings and project files after the classes for a lifetime

Question 17

Do I get any resume building assistance?

Answer

Yes, you get resume building assistance with industry standards

AI/ML Interview Preparation Program

80% of Interview Questions come from above Program

Understand the Real-Time life cycle of an AI Engineer, from how he receives the project and how he/she start with the project and up to the final release of AI Project. Experience every step with practical examples followed by Live Projects to place in your resume.

Co-Developed by Senior AI Engineers from INTEL

4000+

Trained learners

15+ Projects

Build your practical skill

Online

Mode of Learning

15+ Live Projects

We demonstrate 15+ Live Projects which we delivered to our clients across the globe.

Previous AI/ML Live Interview Clips

We share previous interview audio clips of our recently attended learners to build better confidence before getting into AI/ML Interviews.

Do's & Don't in AI/ML Interview Calls

Call with our trainer before getting into interview. Our trainer guide you on various do's and don'ts before interview and he will review and correct you after the interview.

3+ Mock Interviews

Real-Life Mock Interviews to evaluate your knowledge on AI/ML & to build confidence before going to your live Interviews.

Best In-Class Resume Constructing

We make our learners to construct best in class AI/ML Resume with professionals standards.(We provide "LIVE PROJECTS" to place in your Resume

GET 80% OF

AI/ML

INTERVIEW

QUESTIONS

Handholding until you get placed

Our trainer going to help, guide and correct you until you get placed into the role as Data Scientist/AI/ML Engineer.

Tools Covered

KANTH

Watch his journey as AI Engineer

Lead Instructor

Mr. Kanth

Data Scientist | Consultant | Podcaster | Youtuber | Mentor

Mr. Kanth is an Orator & Mentor delivered AI, Machine Learning, Deep Learning, IOT, Industry 4.0 & Digital Twin Customised Training Programs across Dubai, Malaysia, Singapore, South Africa, Sudan etc. He delivered more than 100+ trainings on both sides like client side and vendor side.

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Q & A Session from Recently Placed Participants:

Program Syllabus

Best in industry career transition based syllabus built by Senior AI Engineers from Intel, NVIDIA, BOSCH etc which helps learners to build knowledge from zero level to real time working confidence on AI Projects.

Program Syllabus

Introduction to AI/ML Interview Preparation Program

Real-Time Project Lifecycle of AI/ML Engineer

First Stage of AI/ML Project: Business Problem & Business Understanding

Second Stage of AI/ML Project: Data Collection & Understanding

Third Stage of AI/ML Project: Data Preparation

Fourth Stage of AI/ML Project: Modeling

Fifth Stage of AI/ML Project: Evaluation

Sixth Stage of AI/ML Project: Deployment

Interview Preparation Plan

One-on-One call consulting until you get placed by our Trainer Mr. Kanth

ANY PROFESSIONAL FROM ANY INDUSTRY WITH ANY EXPERIENCE CAN ENROLL FOR THIS PROGRAM.

YOU RECEIVE INTERNSHIP CERTIFICATE BY COMPLETING EVERY PROJECT PROVIDED.

SYLLABUS & TRAINING FORMAT DESIGNED FOR WORKING PROFESSIONALS AS WELL AS FRESHERS.

WE ASSUME OUR LEARNERS ALREADY COMPLETED DATA SCIENCE/ML PROGA

Best in industry projects to work & to place in resume

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Dedicated team to Build your resume

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Mock interviews before attending live interviews

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Feedback on interviews & support until getting placed as Data Scientist

AI/ML Interview Preparation Program

"BEPEC AI Program was lit 🔥, I'm able to answer every interview question with more confidence only because of real time projects. We builded various AI Solutions as projects. But Mr. Kanth demands more time from every learner and he make every student as practitioner."

Avg. 10+ Career Transitions Every

Month

Every month we are making our students and participants from different backgrounds and different learning formats we're making them to get placed. We fix every block and hurdle to make your career transition simplified.

FRESHERS

EXPERIENCED

NON-PROGRAMMERS

Our Alumni Working At

Most frequently asked questions: