www.interviewkickstart.com Open in urlscan Pro
63.35.51.142  Public Scan

Form analysis
4 forms found in the DOM

Name: wf-form-Webinar-Registration-Part-1 — GET

<form id="wf-form-Webinar-Registration-Part-1" name="wf-form-Webinar-Registration-Part-1" data-name="Webinar Registration Part 1" method="get" class="webinar__registration-form1" data-wf-page-id="6603e1776a8ecc1248e69673"
  data-wf-element-id="2a5c101b-ea03-3bc9-e707-a7a615756e3d" aria-label="Webinar Registration Part 1">
  <div class="w-embed"><input type="hidden" value="" name="First Name" class="wr__firstname">
    <input type="hidden" value="" name="Last Name" class="wr__lastname">
    <input type="hidden" value="NoPhoneInTheFirstStep" name="ByeCalendlyType" class="bye-calendly-type">
    <input type="hidden" value="REGULAR" name="webinar-type" class="webinar-type">
    <input type="hidden" value="" name="utm_source" class="utm_source">
    <input type="hidden" value="" name="utm_medium" class="utm_medium">
    <input type="hidden" value="" name="utm_campaign" class="utm_campaign">
    <input type="hidden" value="" name="utm_content" class="utm_content">
    <input type="hidden" value="" name="utm_adset" class="utm_adset">
    <input type="hidden" value="" name="utm_term" class="utm_term">
    <input type="hidden" value="" name="gclid" class="gclid">
    <input type="hidden" value="" name="msclkid" class="msclkid">
    <input type="hidden" value="" name="fbclid" class="fbclid">
    <input type="hidden" value="cd1d7b0e-0a54-4e79-97e4-c7edb41ca4a6-1722310240639" name="User ID" class="user_id">
    <input type="hidden" value="ik.com/courses/applied-genai" name="CTA Page" class="cta_page_url">
    <input type="hidden" value="ik.com" name="Landing Page" class="l_page_url">
    <input type="hidden" value="How to Nail your next Technical Interview" name="Event Name">
    <input type="hidden" value="Europe/Berlin" name="user_timezone" class="user_timezone">
    <input type="hidden" value="www.interviewkickstart.com/courses/applied-genai" name="page_url" class="page_url">
    <input type="hidden" value="www.interviewkickstart.com" name="site_url" class="site_url">
    <input type="hidden" value="Germany" name="country" class="v_country">
    <input type="hidden" value="" name="salesforce_uuid" class="salesforce_uuid">
    <input type="hidden" value="" name="phone_number_full" class="tno1">
    <input type="hidden" value="No" name="Is it exit intent popup?" class="is_exit_intent_popup">
  </div>
  <div class="alumni__registration-step1">
    <div class="form-stages-block">
      <div class="step__card active">
        <div class="steps__number">
          <div>1</div>
        </div>
        <div>Enter details</div>
      </div>
      <div class="arrow-lcon"></div>
      <div class="step__card">
        <div class="steps__number">
          <div>2</div>
        </div>
        <div>Select webinar slot</div>
      </div>
    </div>
    <div class="w-layout-grid webinar__lightbox--form-grid">
      <div id="w-node-_2a5c101b-ea03-3bc9-e707-a7a615756e4f-15756e2d" class="webinar_field-block">
        <div class="form-label-row"><label for="First-Name" class="webinar_filed-text">First Name</label>
          <div class="form-invalid-msg first-name-error hide">*Invalid Name</div>
        </div><input class="webinar_field-input first-name w-input" autocomplete="on" maxlength="256" name="First-Name" data-name="First Name" placeholder="Enter first name" type="text" id="First-Name">
      </div>
      <div id="w-node-_1e1724a1-f571-362a-1d27-81e2d16d3a11-15756e2d" class="webinar_field-block">
        <div class="form-label-row"><label id="Last-Name-2" for="First-Name" class="webinar_filed-text">Last Name</label>
          <div class="form-invalid-msg last-name-error hide">*Invalid Name</div>
        </div><input class="webinar_field-input last-name w-input" maxlength="256" name="Last-Name" data-name="Last Name" placeholder="Enter last name" type="text" id="Last-Name">
      </div>
    </div>
    <div class="webinar_field-block">
      <div class="form-label-row"><label id="Email-Address" for="Email-Address-3" class="webinar_filed-text">Email Address</label>
        <div class="form-invalid-msg email-id-error hide">*Invalid Email Address</div>
      </div><input class="webinar_field-input email w-input" maxlength="256" name="Email-Address" data-name="Email Address" placeholder="Enter email" type="email" id="Email-Address-3">
    </div><input type="submit" data-wait="Please wait..." id="webinar-modal_button_show-webinar-slots" class="bc__btn-select-webinar-slot-v2 w-button" value="Select your webinar time">
    <div class="webinar-lighbox-small-text">By sharing your contact details, you agree to our <a href="/privacy-policy" class="link_privacy_policy" data-click-id="webinar-modal-popup-privacy-policy._link_redirect-new-page">privacy policy.</a></div>
  </div>
</form>

Name: wf-form-Webinar-Registration-Part-2 — GET

<form id="Webinar-Registration-Part-2" name="wf-form-Webinar-Registration-Part-2" data-name="Webinar Registration Part 2" method="get" class="webinar__registration-form2" data-wf-page-id="6603e1776a8ecc1248e69673"
  data-wf-element-id="2a5c101b-ea03-3bc9-e707-a7a615756e88" aria-label="Webinar Registration Part 2">
  <div class="webinar__registration-step2">
    <div class="form-stages-block">
      <div class="step__card completed">
        <div class="steps__number completed">
          <div class="step__text-hide">1</div>
        </div>
        <div>Enter details</div>
      </div>
      <div class="arrow-lcon"></div>
      <div class="step__card active">
        <div class="steps__number">
          <div>2</div>
        </div>
        <div>Select webinar slot</div>
      </div>
    </div>
    <div class="w-embed"><input type="hidden" value="NoPhoneInTheFirstStep" name="ByeCalendlyType" class="bye-calendly-type">
      <input type="hidden" value="" name="First Name" class="wr__firstname">
      <input type="hidden" value="" name="Last Name" class="wr__lastname">
      <input type="hidden" value="" name="Email Address" class="wr__email">
      <input type="hidden" value="" name="Phone Number" class="wr__phone">
      <input type="hidden" value="REGULAR" name="webinar-type" class="webinar-type">
      <input type="hidden" value="" name="Webinar Lead Type" class="webinar-lead-type">
      <input type="hidden" value="Frankfurt am Main" name="City" class="wr__city">
      <input type="hidden" value="Desktop" name="Device" class="wr__device">
      <input type="hidden" value="Hesse" name="Region" class="wr__region">
      <input type="hidden" value="" name="Referrer" class="wr__referrer">
      <input type="hidden" value="" name="Event Start Time" class="wr__event-start-time">
      <input type="hidden" value="" name="Event End Time" class="wr__event-end-time">
      <input type="hidden" value="" name="Invitee Start Time" class="wr__invitee-start-time">
      <input type="hidden" value="" name="Invitee End Time" class="wr__invitee-end-time">
      <input type="hidden" value="How to Nail your next Technical Interview" name="Event Name">
      <input type="hidden" value="cd1d7b0e-0a54-4e79-97e4-c7edb41ca4a6-1722310240639" name="User ID" class="user_id">
      <input type="hidden" value="ik.com/courses/applied-genai" name="CTA Page" class="cta_page_url">
      <input type="hidden" value="ik.com" name="Landing Page" class="l_page_url">
      <input type="hidden" value="" name="utm_source" class="utm_source">
      <input type="hidden" value="" name="utm_medium" class="utm_medium">
      <input type="hidden" value="" name="utm_campaign" class="utm_campaign">
      <input type="hidden" value="" name="utm_content" class="utm_content">
      <input type="hidden" value="" name="utm_adset" class="utm_adset">
      <input type="hidden" value="" name="utm_term" class="utm_term">
      <input type="hidden" value="" name="gclid" class="gclid">
      <input type="hidden" value="" name="msclkid" class="msclkid">
      <input type="hidden" value="" name="fbclid" class="fbclid">
      <input type="hidden" value="Europe/Berlin" name="user_timezone" class="user_timezone">
      <input type="hidden" value="www.interviewkickstart.com/courses/applied-genai" name="page_url" class="page_url">
      <input type="hidden" value="www.interviewkickstart.com" name="site_url" class="site_url">
      <input type="hidden" value="Germany" name="country" class="v_country">
      <input type="hidden" value="" name="salesforce_uuid" class="salesforce_uuid">
      <input type="hidden" value="" name="phone_number_full" class="tno1">
      <input type="hidden" value="No" name="Is it exit intent popup?" class="is_exit_intent_popup">
    </div>
    <div class="webinar__slots"><label class="select-webinar-slot w-radio"><input type="radio" name="start-date" value="2024-07-31T02:30:00+02:00" data-endtime="2024-07-31T03:30:00+02:00" data-invitee_starttime="02:30AM - Wednesday, July 31, 2024"
          data-invitee_endtime="03:30AM - Wednesday, July 31, 2024" data-name="2024-07-31T02:30:00+02:00" class="w-form-formradioinput select-webinar-radio-btn w-radio-input" data-webinar_lead_type="SWITCH_UP"><span class="w-form-label"
          for="start-date-0">Wednesday, 31 July 2024 | 02:30 AM</span></label><label class="select-webinar-slot w-radio"><input type="radio" name="start-date" value="2024-08-01T01:30:00+02:00" data-endtime="2024-08-01T02:30:00+02:00"
          data-invitee_starttime="01:30AM - Thursday, August 01, 2024" data-invitee_endtime="02:30AM - Thursday, August 01, 2024" data-name="2024-08-01T01:30:00+02:00" class="w-form-formradioinput select-webinar-radio-btn w-radio-input"
          data-webinar_lead_type="SWITCH_UP"><span class="w-form-label" for="start-date-1">Thursday, 01 August 2024 | 01:30 AM</span></label><label class="select-webinar-slot w-radio"><input type="radio" name="start-date"
          value="2024-08-02T02:30:00+02:00" data-endtime="2024-08-02T03:30:00+02:00" data-invitee_starttime="02:30AM - Friday, August 02, 2024" data-invitee_endtime="03:30AM - Friday, August 02, 2024" data-name="2024-08-02T02:30:00+02:00"
          class="w-form-formradioinput select-webinar-radio-btn w-radio-input" data-webinar_lead_type="SWITCH_UP"><span class="w-form-label" for="start-date-2">Friday, 02 August 2024 | 02:30 AM</span></label><label
        class="select-webinar-slot w-radio"><input type="radio" name="start-date" value="2024-08-03T01:30:00+02:00" data-endtime="2024-08-03T02:30:00+02:00" data-invitee_starttime="01:30AM - Saturday, August 03, 2024"
          data-invitee_endtime="02:30AM - Saturday, August 03, 2024" data-name="2024-08-03T01:30:00+02:00" class="w-form-formradioinput select-webinar-radio-btn w-radio-input" data-webinar_lead_type="SWITCH_UP"><span class="w-form-label"
          for="start-date-3">Saturday, 03 August 2024 | 01:30 AM</span></label><label class="select-webinar-slot w-radio"><input type="radio" name="start-date" value="2024-08-05T02:30:00+02:00" data-endtime="2024-08-05T03:30:00+02:00"
          data-invitee_starttime="02:30AM - Monday, August 05, 2024" data-invitee_endtime="03:30AM - Monday, August 05, 2024" data-name="2024-08-05T02:30:00+02:00" class="w-form-formradioinput select-webinar-radio-btn w-radio-input"
          data-webinar_lead_type="SWITCH_UP"><span class="w-form-label" for="start-date-4">Monday, 05 August 2024 | 02:30 AM</span></label><label class="select-webinar-slot w-radio"><input type="radio" name="start-date"
          value="2024-08-06T01:30:00+02:00" data-endtime="2024-08-06T02:30:00+02:00" data-invitee_starttime="01:30AM - Tuesday, August 06, 2024" data-invitee_endtime="02:30AM - Tuesday, August 06, 2024" data-name="2024-08-06T01:30:00+02:00"
          class="w-form-formradioinput select-webinar-radio-btn w-radio-input" data-webinar_lead_type="SWITCH_UP"><span class="w-form-label" for="start-date-5">Tuesday, 06 August 2024 | 01:30 AM</span></label></div>
    <div class="timezone-disclaimer">*All webinar slots are in the <span class="var_localtimezone">US/Pacific</span> timezone</div>
    <div class="second-btn_block"><input type="submit" data-wait="Please wait..." id="Webinar-modal_button_open-gql" class="bc__btn-2nd-step w-button" value="Finish"><a id="webinar-modal_button_go-back" href="#" class="btn-back-to-step1">Back</a>
    </div>
  </div>
</form>

Name: wf-form-Coding-Experience-Experiment — GET

<form id="wf-form-Coding-Experience-Experiment" name="wf-form-Coding-Experience-Experiment" data-name="Coding Experience Experiment" method="get" class="coding-experience-experiment" data-wf-page-id="6603e1776a8ecc1248e69673"
  data-wf-element-id="61c4c4c3-9c75-8c5f-4bc7-e316001590dd" aria-label="Coding Experience Experiment">
  <div class="w-embed"><input type="hidden" value="" name="utm_source" class="utm_source">
    <input type="hidden" value="" name="utm_medium" class="utm_medium">
    <input type="hidden" value="" name="utm_campaign" class="utm_campaign">
    <input type="hidden" value="" name="utm_content" class="utm_content">
    <input type="hidden" value="" name="utm_adset" class="utm_adset">
    <input type="hidden" value="" name="utm_term" class="utm_term">
    <input type="hidden" value="" name="gclid" class="gclid">
    <input type="hidden" value="" name="msclkid" class="msclkid">
    <input type="hidden" value="" name="fbclid" class="fbclid">
    <input type="hidden" value="cd1d7b0e-0a54-4e79-97e4-c7edb41ca4a6-1722310240639" name="User ID" class="user_id">
    <input type="hidden" value="ik.com/courses/applied-genai" name="CTA Page" class="cta_page_url">
    <input type="hidden" value="ik.com" name="Landing Page" class="l_page_url">
    <input type="hidden" value="Europe/Berlin" name="user_timezone" class="user_timezone">
    <input type="hidden" value="www.interviewkickstart.com/courses/applied-genai" name="page_url" class="page_url">
    <input type="hidden" value="www.interviewkickstart.com" name="site_url" class="site_url">
    <input type="hidden" value="Germany" name="country" class="v_country">
    <input type="hidden" value="" name="salesforce_uuid" class="salesforce_uuid">
  </div><label class="form-radio w-radio">
    <div class="w-form-formradioinput w-form-formradioinput--inputType-custom exp-custom-radio w-radio-input"></div><input id="No-coding-experience-Currently-studying" type="radio" name="years-of-experience" data-name="years-of-experience"
      style="opacity:0;position:absolute;z-index:-1" value="No coding experience/Currently studying"><span class="radio-button-label-2 w-form-label" for="No-coding-experience-Currently-studying">No coding experience/Currently studying</span>
  </label><label class="form-radio w-radio">
    <div class="w-form-formradioinput w-form-formradioinput--inputType-custom exp-custom-radio w-radio-input"></div><input id="0-4-years-2" type="radio" name="years-of-experience" data-name="years-of-experience"
      style="opacity:0;position:absolute;z-index:-1" value="0-4 years"><span class="radio-button-label-2 w-form-label" for="0-4-years-2">0-4 years</span>
  </label><label class="form-radio w-radio">
    <div class="w-form-formradioinput w-form-formradioinput--inputType-custom exp-custom-radio w-radio-input"></div><input id="4-years" type="radio" name="years-of-experience" data-name="years-of-experience"
      style="opacity:0;position:absolute;z-index:-1" value="4+ years"><span class="radio-button-label-2 w-form-label" for="4-years">4+ years</span>
  </label>
</form>

Name: wf-form-Exit-Intent-Free-Course-Offering — GET

<form id="wf-form-Exit-Intent-Free-Course-Offering" name="wf-form-Exit-Intent-Free-Course-Offering" data-name="Exit Intent Free Course Offering" method="get" class="exit-intent-free-course-form" data-wf-page-id="6603e1776a8ecc1248e69673"
  data-wf-element-id="ccbb98f2-4ba5-ca7b-756b-f63678e9d0ae" aria-label="Exit Intent Free Course Offering">
  <div>
    <h2 class="bc-popup-title t-green-2 text-green tale-green _4"><strong>FREE course on 'Sorting Algorithms'</strong> by <span class="text-span-2"><strong>Omkar Deshpande <em class="omkar-designation">(Stanford PhD, Head of Curriculum,
            IK)</em></strong></span></h2>
    <div class="w-embed"><input type="hidden" value="" name="utm_source" class="utm_source">
      <input type="hidden" value="" name="utm_medium" class="utm_medium">
      <input type="hidden" value="" name="utm_campaign" class="utm_campaign">
      <input type="hidden" value="" name="utm_content" class="utm_content">
      <input type="hidden" value="" name="utm_adset" class="utm_adset">
      <input type="hidden" value="" name="utm_term" class="utm_term">
      <input type="hidden" value="" name="gclid" class="gclid">
      <input type="hidden" value="" name="msclkid" class="msclkid">
      <input type="hidden" value="" name="fbclid" class="fbclid">
      <input type="hidden" value="cd1d7b0e-0a54-4e79-97e4-c7edb41ca4a6-1722310240639" name="User ID" class="user_id">
      <input type="hidden" value="ik.com/courses/applied-genai" name="CTA Page" class="cta_page_url">
      <input type="hidden" value="ik.com" name="Landing Page" class="l_page_url">
      <input type="hidden" value="Europe/Berlin" name="user_timezone" class="user_timezone">
      <input type="hidden" value="www.interviewkickstart.com/courses/applied-genai" name="page_url" class="page_url">
      <input type="hidden" value="www.interviewkickstart.com" name="site_url" class="site_url">
      <input type="hidden" value="Germany" name="country" class="v_country">
      <input type="hidden" value="" name="salesforce_uuid" class="salesforce_uuid">
    </div>
  </div>
  <div class="form-fields-row"><input class="form-input-field mb-0 exitintent-fc-email w-input" maxlength="256" name="Email-Address" data-name="Email Address" placeholder="Enter your email id" type="email" id="Email-Address-6" required=""><input
      type="submit" data-wait="Please wait..." class="btn-getaccess w-button" value="Get Access Now"></div>
</form>

Text Content

We use cookies to enable the best possible experience on our site and to
optimize the content for you. If you continue surfing you agree. Learn more
Got it!
Register for our webinar


HOW TO NAIL YOUR NEXT TECHNICAL INTERVIEW

1 hour
Loading...
1
Enter details

2
Select webinar slot
First Name
*Invalid Name
Last Name
*Invalid Name
Email Address
*Invalid Email Address
By sharing your contact details, you agree to our privacy policy.
Step 1

Step 2
Congratulations!
You have registered for our webinar
Oops! Something went wrong while submitting the form.
1
Enter details

2
Select webinar slot

Wednesday, 31 July 2024 | 02:30 AMThursday, 01 August 2024 | 01:30 AMFriday, 02
August 2024 | 02:30 AMSaturday, 03 August 2024 | 01:30 AMMonday, 05 August 2024
| 02:30 AMTuesday, 06 August 2024 | 01:30 AM
*All webinar slots are in the US/Pacific timezone
Back
Step 1

Step 2
Confirmed

You are scheduled with Interview Kickstart.

Redirecting...
Oops! Something went wrong while submitting the form.


YOU MAY BE MISSING OUT ON A 66.5% SALARY HIKE*

I want my career success nowI want to delay my success



NICK CAMILLERI

Head of Career Skills Development & Coaching
*Based on past data of successful IK students
Help us know you better!


HOW MANY YEARS OF CODING EXPERIENCE DO YOU HAVE?


No coding experience/Currently studying

0-4 years

4+ years
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.


FREE COURSE ON 'SORTING ALGORITHMS' BY OMKAR DESHPANDE (STANFORD PHD, HEAD OF
CURRICULUM, IK)



Enter valid email id
Thank you! Please check your inbox for the course details.
Oops! Something went wrong while submitting the form.



NEXT WEBINAR STARTS IN

01
Day
:
02
Hrs
:
59
Mins
:
16
Secs
Register for webinar



APPLIED GENERATIVE AI COURSE

 * Understand the concepts in GenAI and how to apply them to your job roles
 * Learn from FAANG+ experts who are at the forefront of GenAI innovation
 * Get hands-on GenAI training and deployment experience with Capstone Projects

Register for Pre-enrolment Session
Learn about the curriculum, pricing & special offers
It's Free


NEXT WEBINAR STARTS IN

01
Day
:
02
Hrs
:
59
Mins
:
16
Secs
Front-end Engineers!
Get interview-ready with lessons from FAANG+ engineers
Master core Front-end interview concepts
Sharpen your coding and system design interview skills
Front End Developer


Course Overview
Start Learning
Get all the information about the course and pricing in our live webinar with
Q&A.

Download Course Brochure
Almost full
Next Batch
12th June, 2022
Location
Live & online
Duration
4 months (apx. 10 hours/week)
CurriculumMeet the instructorsCareer ImpactCapstone Projects
500+
Instructors, Coaches & Interviewers from Top Companies
20,000+
Students
66.5%
Avg. salary hike for alums who upleveled


LIBRARIES AND MODELS COVERED IN GENERATIVE AI COURSE

Google Colab
Langchain
Python & Libraries
PyTorch
Hugging Face
Transformers
Diffusion Models
Alpaca Model




APPLIED GENERATIVE AI COURSE FOR SWES

 * Suitable for Software Engineers seeking to understand Generative AI and use
   it in their current roles
 * Covers foundations of Python, Neural Networks, LLMs, and practical
   applications of GenAI in Software roles
 * AI-Powered SDLC, Design Principles, AI Tech Stack, Deployment Strategies
 * Capstone Project for hands-on experience
 * Designed and taught by FAANG+ experts
 * 14-week program

Learn More

APPLIED GENERATIVE AI COURSE FOR PMS

 * Suitable for Product Managers seeking to understand Generative AI and use it
   in their current roles
 * Covers foundations of Python, Neural Networks, LLMs, and practical
   applications of GenAI in Product roles
 * Practical application of GenAI in Product Management
 * Capstone Project for hands-on experience
 * Designed and taught by FAANG+ experts
 * 14-week program

Learn More

APPLIED GENERATIVE AI COURSE FOR TECH PROFESSIONALS

 * Suitable for Tech professionals and managers seeking to upskill in Generative
   AI and leverage the skills in their current roles
 * Covers foundations of Python, Neural Networks, LLMs, and practical
   applications of GenAI in broad tech roles
 * Capstone Project for hands-on experience
 * Designed and taught by FAANG+ experts
 * 14-week program

Learn More

ADVANCED GENERATIVE AI COURSE - LEARN TO SCALE WITH LLMS

 * Suitable for AI/ML professionals (MLE, Applied Scientists, Data Scientists)
   looking to design, implement, and evaluate LLMs and Generative Models
 * Covers advanced Deep Learning, Diffusion Models, Multimodal Models, RLHF, and
   LLM deployment and inferencing 
 * Capstone Project for hands-on experience
 * Designed and taught by FAANG+ experts
 * 14-week program

Learn More

APPLIED GENAI FOR ENGINEERING MANAGERS

 * Suitable for Engineering Managers seeking to understand Generative AI and use
   it in their current roles
 * Covers foundations of Neural Networks, LLMs, and Gen AI System Design
   suitable for EMs
 * Practical application of GenAI in Engineering Management
 * Capstone Project for hands-on experience
 * Designed and taught by FAANG+ experts
 * 14-week program

Learn More

APPLIED GENAI FOR TECHNICAL PROGRAM MANAGERS

 * Suitable for Technical Program Managers seeking to understand Generative AI
   and use it in their current roles
 * Covers foundations of Python, Neural Networks, LLMs, and Gen AI program
   management for Program Managers
 * Practical application of GenAI in Technical Program Management
 * Capstone Project for hands-on experience
 * Designed and taught by FAANG+ experts
 * 14-week program

Learn More


GENERATIVE AI COURSE CURRICULUM

Learn GenAI with curriculum designed and taught by top industry AI/ML experts
from FAANG+
Applied Generative AI Course For
⏷
Software Engineers
Product Managers
Tech Professionals
Engineering Managers
Technical Program Managers
Advanced Generative AI Program
⏷

APPLIED GENERATIVE AI COURSE FOR

SOFTWARE ENGINEERS

Python Crash Course I
Week 1
Python Crash Course II
Week 2
Hands-on with Large Language Models
Week 3
Gen AI Background
Week 4
Neural Networks Background
Week 5
Deep Dive into LLMs
Week 6
Building Applications with LLMs
Week 7
Training LLMs
Week 8
GenAI for Images
Week 9
GenAI for Audio
Week 10
AI Engineering for Software Engineers
Week 11 & 12
Capstone Projects - Software Focus
Week 13 & 14

PRODUCT MANAGERS

Python Crash Course I
Week 1
Python Crash Course II
Week 2
Hands-on with Large Language Models
Week 3
Gen AI Background
Week 4
Neural Networks Background
Week 5
Deep Dive into LLMs
Week 6
Building Applications with LLMs
Week 7
Training LLMs
Week 8
GenAI for Images
Week 9
GenAI for Audio
Week 10
Product Management with Generative AI
Week 11 & 12
Capstone Projects - Software Focus
Week 13 & 14

TECH PROFESSIONALS

Python Crash Course I
Week 1
Python Crash Course II
Week 2
Hands-on with Large Language Models
Week 3
Gen AI Background
Week 4
Neural Networks Background
Week 5
Deep Dive into LLMs
Week 6
Building Applications with LLMs
Week 7
Training LLMs
Week 8
GenAI for Images
Week 9
GenAI for Audio
Week 10
Capstone Projects
Week 11 & 12

ENGINEERING MANAGERS

Python Crash Course I
Week 1
Python Crash Course II
Week 2
Hands-on with Large Language Models
Week 3
Gen AI Background
Week 4
Neural Networks Background
Week 5
Deep Dive into LLMs
Week 6
Building Applications with LLMs
Week 7
Training LLMs
Week 8
GenAI for Images
Week 9
GenAI for Audio
Week 10
Strategic Integration of LLMs in Engineering Projects
Week 11
System Design Innovations with LLMs
Week 12
Capstone Projects - EM Focus
Week 13 & 14

TECHNICAL PROGRAM MANAGERS

Python Crash Course I
Week 1
Python Crash Course II
Week 2
Hands-on with Large Language Models
Week 3
Gen AI Background
Week 4
Neural Networks Background
Week 5
Deep Dive into LLMs
Week 6
Building Applications with LLMs
Week 7
Training LLMs
Week 8
GenAI for Images
Week 9
GenAI for Audio
Week 10
Mastering Generative AI Project Management
Week 11
Strategic AI System Design for Program Managers
Week 12
Capstone Projects - TPM Focus
Week 13 & 14

ADVANCED GENERATIVE AI PROGRAM

Deep Learning Primer
Session 1
Gen AI: Background
Session 2
Deep-Dive into LLMs
Session 3
LLMs in Production
Session 4
Diffusion Models
Session 5
Multimodal Models
Session 6
Reinforcement Learning from Human Feedback
Session 7
Capstone Project
Session 8


FAANG+ INSTRUCTORS TO TRAIN YOU IN LIVE CLASSES

Our highly experienced instructors are active ML Professionals at top tech
companies, bringing you a treasure trove of knowledge and industry expertise.


SHRUTI GOLI

Senior Product Manager, Incode

Learn more

Dipan has valuable work experience of over 10 years with companies such as
SpaceX.
As an operations-focused engineer, he has worked with cross-functional teams
such as design, test, production, and supply chain to accomplish mission
objectives.As an operations-focused engineer, he has worked with
cross-functional teams such as design, test, production, and supply chain to
accomplish mission objectives.


AHSAN ALI

Applied Scientist

Learn more

Dipan has valuable work experience of over 10 years with companies such as
SpaceX.
As an operations-focused engineer, he has worked with cross-functional teams
such as design, test, production, and supply chain to accomplish mission
objectives.As an operations-focused engineer, he has worked with
cross-functional teams such as design, test, production, and supply chain to
accomplish mission objectives.


RANDY COGILL

Senior Research Scientist

Learn more

Dipan has valuable work experience of over 10 years with companies such as
SpaceX.
As an operations-focused engineer, he has worked with cross-functional teams
such as design, test, production, and supply chain to accomplish mission
objectives.As an operations-focused engineer, he has worked with
cross-functional teams such as design, test, production, and supply chain to
accomplish mission objectives.


JAY PILLAI

Engineering Leader - GenAI
FAANG+ Leader


ASHISH KAILA 

Enthusiast & Staff Software Engineering
FAANG+ Leader


Register for Pre-enrolment Session
Learn more about the course & pricing
It's Free


CAPSTONE PROJECTS


Applied Generative AI Projects
⏷
Product Management Specialization
Software Engineering Specialization
Engineering Management Specialization
Technical Program Management Specialization
Default Specialization 
Advanced Generative AI Projects
⏷

APPLIED GENERATIVE AI PROJECTS

PRODUCT MANAGEMENT SPECIALIZATION

Generative AI Product Strategies
 * Choose any Microsoft Office(/FAANG+) product and recommend how they can
   improve the user's experience using generative AI (eg. Write about a product
   lifecycle on features like text prediction, grammar correction, and automated
   summarization. Leverage AI to assist users in writing emails, documents, and
   presentations more efficiently)

SOFTWARE ENGINEERING SPECIALIZATION

Intelligent Virtual Assistant for Developers
 * Develop a virtual assistant designed for software developers who can
   understand complex programming queries, offer coding advice and debug tips,
   and even write small code snippets using LLM APIs.

Intelligent Meeting Summarizer
 * Develop a tool that leverages LLMs to provide summaries and action items from
   virtual meetings. This application can transcribe conversations, highlight
   key points, and list tasks, saving time and ensuring that important details
   are captured and actioned upon.

ENGINEERING MANAGEMENT SPECIALIZATION

AI-Driven Engineering System Enhancement
 * Redesign an existing engineering system to seamlessly integrate generative
   AI, focusing on crucial build vs. buy decisions. Outline the benefits and
   risks of integrating GenAI implementation strategies. Emphasize the
   enhancement of engineering efforts through automated decision-making and
   optimized collaboration. Evaluate the tech stack modifications, hardware
   scalability, and the necessary engineering resources. Address ethical and
   regulatory compliance to ensure a forward-thinking, robust system redesign.

TECHNICAL PROGRAM MANAGEMENT SPECIALIZATION

Gen AI Project Lifecycle: Strategy to Execution:
 * Develop a case study on the business integration of GenAI that outlines the
   benefits and risks of integrating GenAI and examines the lifecycle of a
   generative AI project from initiation to deployment. Detail the project
   management strategies used, including setting OKRs, timeline planning, cost
   forecasting, and effort estimation. Analyze AI integration within existing
   systems, emphasizing adaptability and scalability. Conclude with insights on
   ethical practices and regulatory compliance encountered throughout the
   project.

DEFAULT SPECIALIZATION 

AI Customer Service Agent
 * Design an LLM-based customer service agent capable of understanding and
   responding to customer queries in natural language. This project involves
   training an LLM on domain-specific data to ensure accurate and helpful
   responses and creating a scalable, responsive application to handle real-time
   customer interactions.

AI Personal Shopper
 * Create a personalized shopping assistant application using OpenAI's GPT-3.5
   or a similar LLM. This virtual assistant engages with customers through
   natural language, understanding their preferences, budgets, and needs to
   recommend products they'll love. It learns from each interaction, refining
   its suggestions over time.

ADVANCED GENERATIVE AI PROJECTS

AI-Powered Resume Coach
 * Develop a Resume Coach application that offers personalized feedback and
   suggestions to improve resumes. The application will analyze a user's resume
   and compare it to job descriptions and industry standards, providing
   constructive feedback on content, structure, and language and suggesting
   improvements based on successful resumes in the field.

ShopTalk: Conversational Shopping Assistant
 * ShopTalk revolutionizes online shopping by turning complex queries into
   intuitive conversations. Your challenge is to create an AI assistant that
   understands detailed requests, such as finding a red men's shirt under $50
   and providing precise product suggestions. Focus on enhancing user
   interaction with real-time, natural language responses, ensuring a seamless
   and engaging shopping experience. Embrace ShopTalk, where shopping becomes as
   simple as a chat.


THE IK EXPERIENCE: WHAT OUR ALUMNI ARE SAYING

Our engineers land high-paying and rewarding offers from the biggest tech
companies, including Facebook, Google, Microsoft, Apple, Amazon, Tesla, and
Netflix.


SIVA KARTHIK GADE

Machine Learning Engineer
Placed at:
IK offers high-quality study material, knowledgeable and patient instructors
working at industry-leading companies, well-paced live classes + tests + review
sessions, always available technical coaches. IK brings together people with the
same ambition on their platform, Uplevel, to guide and inspire each other.


HUMBERTO GONZALES GRANDA

Machine Learning Engineer
Placed at:
Interview Kickstart's dedicated team of instructors and coaches provided
exceptional support and mentorship. Their extensive knowledge and experience in
the tech industry is evident in the program's meticulously crafted curriculum.
The diverse range of topics covered, including data structures, algorithms, and
systems design, was nothing short of impressive, ensuring that I was
well-equipped to tackle any challenge that came my way. One standout feature
that sets Interview Kickstart apart is the personalized attention provided to
each participant. The program's well-structured curriculum, passionate
instructors, and unparalleled support make it a game-changer that can unlock
your true potential.


MIKE KANE

Lead Data Engineer
Placed at:
For many working professionals, going through examples and different
perspectives are very valuable…. Interview Kickstart was great because its
structure helped me understand each problem in my interview. The high sense of
comradery in Discord was also great! I had a study group with other people in my
cohort and felt the engagement was much stronger than in an academic setting.


DAVIDE TESTUGGINE

Software Engineer
Placed at:
What turned me to Soham’s course is the way he talked about the course as not a
substitute for hard work, not a “cheat sheet” of questions but a way to actually
get good at algorithms, through a lot of perspiration. The course is very
intense…practice, practice, practice. And it works!.... All that practice had a
long-lasting effect on my ability as a software engineer. I am simply faster at
coding than I ever was…. I can keep focused on the idea if the implementation
takes a few minutes as I don't get lost on implementation details anymore, so
the productivity increase I experienced is greater than just the delta in time
for the implementation itself.



HOW TO ENROLL FOR THE APPLIED GENAI PROGRAM

Learn more about Interview Kickstart and the Applied GenAI Program by joining
the free pre-enrollment webinar.
Register for webinar
It's Free
Try 7-Day Email Course for FREE


NEXT WEBINAR STARTS IN

01
Day
:
02
Hrs
:
59
Mins
:
16
Secs


FAQS ON APPLIED GENAI

1
How do I enroll in the program?

The best way to join the course is to first register for our pre-enrolment
session here. You will learn all about the course, its cost, and other useful
details.
2
Are the GenAI courses self-paced or live?

Both the Applied GenAI Program and the Advanced Generative AI Program comprises
live classes. You will also receive class recordings after each day’s session.
3
Are the Generative AI programs virtual or are there in-person classes?

There are no in-person classes in Interview Kickstart’s GenAI programs—it is
fully online and designed keeping working professionals in mind. 
4
How much time would I need to put in each week for the GenAI programs?

You will need to put in around 8 to 12 hours each week for this course. 
5
Will I have to spend extra on anything while doing these programs? 

Yes, up to $20. This is We will provide you with all the resources required for
the program. However, you are encouraged to read books and research papers,
watch videos, and peruse other resources to keep yourself updated in the field. 
6
Will I have access to the learning modules after I complete the program?

Yes. You will be able to access all class recordings even after you complete the
program. 
Applied GenAI
Advanced GenAI
1
What to look for in the Applied GenAI course from Interview Kickstart?

The Applied GenAI course has been co-created by FAANG+ instructors who happen to
be a part of Generative AI teams in their respective organizations. This direct
involvement not only enriches the curriculum but also benefits participants to
access real-world case studies and best practices.

One can learn in-demand industry-relevant topics, including Generative AI
models, neural networks, LLM, diffusion models, and more without having to
become an ML expert!

As the landscape of Generative AI evolves, so does our course content, ensuring
it remains pertinent and comprehensible to a broader audience.

Our capstone projects, co-created by FAANG+ instructors ensure you learn to
create LLM-based applications & strategies to showcase your skills.

2
Who is this Applied GenAI course ideal for?

Interview Kickstart’s Applied GenAI course is ideal for Tech/IT professionals
seeking to understand Generative AI or innovate in their current role.

Creators can unleash their creative potential and tech professionals can stay
ahead of the curve by building a strong foundation in Generative AI.

Whether you’re from marketing, product development, or any other domain,
Generative AI skills can set you apart and open new avenues for growth and
innovation.

3
What are the eligibility criteria for Applied GenAI?

This Applied GenAI program is suitable for anyone in the tech field with a
strong inclination to learn Generative AI and its transformative applications,
regardless of their level of expertise or background knowledge.
4
Are there any required programming skills needed before enrolling in Applied
GenAI?

Also known by its name “Generative AI for ALL,” our thoughtfully created course
doesn’t require any prior coding skills. True to its name, the course is
accessible to a wider audience, including those with little to no background in
coding.

The course begins with foundational concepts like Python and builds up to more
advanced topics in a way that’s more understandable and engaging. We offer all
the required tools that help in exploring Generative AI.

5
Why should I take the Applied GenAI course from Interview Kickstart?

Distinctive and Practical: Unlike traditional methods where learners first grasp
a concept before practical application, we prioritize hands-on experience.

Participants dive straight into constructing with LLMs, gaining immediate
insight into the intricate workings of Generative AI, while also learning the
concepts thoroughly. This method allows learners to visualize and comprehend
every step.

Simplified Explanations: The language used while teaching the concepts of
Generative AI is free from jargon, ensuring the course is easy to comprehend for
anyone coming from diverse backgrounds.

Instructor Pool: Our GenAI course boasts experts from top-tier companies who are
working at the forefront of Generative AI innovation. Learning directly from
these pioneers propels you far beyond the scope of typical online lectures. Our
instructors have been a part of Google DeepMind, Amazon, and Apple and
specialize in LLM, Generative AI, and career development.

Domain-Specific Classes: The program also offers specific generative AI classes
for domains such as Software Engineering, Product Management(Tech), Engineering
Managers, and Technical Program Managers. These classes focus on generative AI
practical use cases in the respective domains.

Capstone Projects: The Generative AI course includes a variety of comprehensive
projects, each tailored to mirror real-world projects running across various
industries. These projects have been developed in collaboration with our FAANG
instructors.

6
How can I apply the skills learned in the Applied GenAI course to my current
role?

Generative AI can greatly help in your current role and improve your overall
productivity. Product Managers can integrate AI during the product development
lifecycle. They can communicate effectively with engineers, data scientists, and
designers about AI capabilities and requirements.

Similarly, Engineering Managers can effectively oversee AI project execution,
manage teams, and ensure projects. Familiarity with Retrieval-augmented
generation (RAG), LangChain can aid in conceptualizing innovative applications.

Software Engineers can learn how to use Generative AI to integrate into their
current product, code generation, debugging, and testing to significantly reduce
development time.

Security Engineers can learn how to employ Generative AI for identifying
vulnerabilities, threat modeling, and risk assessment.

7
Will I receive a certificate after I complete the Applied GenAI course?

Yes, the Applied GenAI course includes a certificate of completion.
8
Are there any hands-on projects incorporated into the curriculum?

Applied GenAI includes many hands-on projects, each crafted in a way to deepen
your understanding of Generative AI.

Individuals will learn to work with open-source models via HuggingFace
Transformers, Stale Diffusion, and LoRa.

One example of our project offered in the GenAI course is AI Personal Shopper, a
personalized shopping assistant application that is built using OpenAI’s GPT-3.5
or a similar LLM. It understands customers’ preferences and budgets and then
recommends products.

9
How long does the GenAI course take to complete?

Our Generative AI course is 12-14 weeks long. Our learners spend 10-12 hours
each week in this course. It is fully online and has been designed keeping
working professionals in mind.
10
Can I access course materials and lectures after the course is completed?

Yes, you will be able to access all class recordings even after you complete the
program.

11
How does the Applied GenAI course stay updated with the latest advancements in
the field?

The GenAI course stays current with the latest advancements in the field, thanks
to the expertise of our instructors who are deeply immersed in the ongoing
developments in artificial intelligence at their respective organizations.

These professionals continuously update their knowledge with the latest tools,
technologies, and best practices. Their firsthand experience directly informs
the course curriculum, ensuring the individuals receive the most up-to-date and
relevant content.
1
Why should I take the Advanced Generative AI Program?

Classical ML is fast becoming obsolete, and Generative AI is at the forefront of
the AI revolution. Our 360° curriculum on GenAI is designed to equip you with a
deep understanding of LLMs, Diffusion Models, Reinforcement Learning,
Multi-Modality, and Visual Transformers. You will learn not just the current
industry practices but also the GenAI models and systems that will become
necessary in the future. The Capstone Project where you will deploy and manage a
GenAI project on AWS will give you hands-on real-world experience and prepare
you to start working on GenAI projects in your current and next jobs. This is
not a short and cute recorded videos-based course–it is a professional
upskilling program taught by FAANG+ industry practitioners meant to give your ML
expertise more depth and variety.
2
Why is learning Generative AI in-depth important now?

In today's rapidly evolving technological landscape, delving deep into
Generative AI is crucial for anyone involved in Machine Learning (ML),
Artificial Intelligence (AI), or Data Science. Generative AI, an advanced
frontier in AI, focuses on creating new content, from images to text, that can
pass as human-generated. Here are key reasons why mastering Generative AI is
essential now:
‍

 * Innovation and Competitive Edge: Generative AI represents the cutting edge in
   AI and ML. By understanding its mechanisms, professionals can drive
   innovation in their fields, stay ahead of the curve, and maintain a
   competitive edge.
 * Versatile Applications: The applications of Generative AI are vast and
   growing, spanning industries like healthcare, entertainment, automotive, and
   more. Deep knowledge in this area opens up myriad opportunities for practical
   and impactful applications.
 * Enhanced Problem-Solving Skills: Learning Generative AI deepens your
   problem-solving skills. It involves complex algorithms like GANs (Generative
   Adversarial Networks), which require a solid grasp of neural networks and
   probabilistic models, enhancing analytical thinking.
 * Future Job Market Relevance: As industries increasingly adopt AI, expertise
   in Generative AI positions you favorably in the job market. This
   specialization ensures that your skill set remains relevant and in-demand.
 * Contribution to Ethical AI Development: With great power comes great
   responsibility. A deep understanding of Generative AI includes grappling with
   ethical considerations. This knowledge is vital for developing AI that is
   responsible and beneficial for society.

3
Will the Advanced Generative AI Program help me get better jobs? 

With GenAI jobs on the rise among top tech companies, if you complete our
program, you will be better equipped than many professionals out there in
advanced concepts of Generative AI. This will definitely improve your
employability and market value. That said, Interview Kickstart’s Advanced
Generative AI Program does not have a tech interview prep module as of now.
4
What are the prerequisites for this Applied GenAI Program?

You are expected to know Python or another scripting language. Prior experience
in basic/classical ML modeling or prototyping will be of immense benefit when
doing this course. You should also have beginner-level comfort with Deep
Learning concepts. 
Privacy Policy* Terms and Conditions
Terms & Conditions
© Copyright 2024. All Rights Reserved.

Get a $300K offer from top tech companies. Learn how!

Join the free webinar
Register for our Webinar