www.interviewkickstart.com
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52.17.119.105
Public Scan
Submitted URL: https://d1khqf04.na1.hubspotlinks.com/Ctc/GF*113/d1KhQf04/VVrR618xLts4W7hRWwT1SlY0zW24t7JB5j5nzsN8wLL663hKBbW7Y8-PT6lZ3kwW3pWzV14bLjJW...
Effective URL: https://www.interviewkickstart.com/courses/advanced-genai-program?utm_campaign=PA%20-%20Others&utm_medium=email&_hsenc=p2ANqtz-_boi...
Submission: On July 30 via api from US — Scanned from DE
Effective URL: https://www.interviewkickstart.com/courses/advanced-genai-program?utm_campaign=PA%20-%20Others&utm_medium=email&_hsenc=p2ANqtz-_boi...
Submission: On July 30 via api from US — Scanned from DE
Form analysis
6 forms found in the DOMName: wf-form-Webinar-Registration-Part-1 — GET
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<div>1</div>
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<div>Enter details</div>
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<div class="arrow-lcon"></div>
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<div>2</div>
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<div>Select webinar slot</div>
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<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">
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</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="65eecc52b8abfbdcebaee494"
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<div>Enter details</div>
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<div>2</div>
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<div>Select webinar slot</div>
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<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="" name="City" class="wr__city">
<input type="hidden" value="Desktop" name="Device" class="wr__device">
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<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">
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<input type="hidden" value="How to Nail your next Technical Interview" name="Event Name">
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<input type="hidden" value="Germany" name="country" class="v_country">
<input type="hidden" value="" name="salesforce_uuid" class="salesforce_uuid">
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<input type="hidden" value="No" name="Is it exit intent popup?" class="is_exit_intent_popup">
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<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"
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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="65eecc52b8abfbdcebaee494"
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<div class="w-embed"><input type="hidden" value="hs_email" name="utm_source" class="utm_source">
<input type="hidden" value="email" name="utm_medium" class="utm_medium">
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<input type="hidden" value="9219bd0e-686d-4e98-809a-9e74b8386008-1722310220123GA1.1.2027261249.1722310220" name="User ID" class="user_id">
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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="65eecc52b8abfbdcebaee494"
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="hs_email" name="utm_source" class="utm_source">
<input type="hidden" value="email" name="utm_medium" class="utm_medium">
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<input type="hidden" value="" name="utm_content" class="utm_content">
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<input type="hidden" value="ik.com/courses/advanced-genai-program" 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/advanced-genai-program" 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>
Name: wf-form-Download-Course-Brochure---Organic-LPs — GET
<form id="wf-form-Download-Course-Brochure---Organic-LPs" name="wf-form-Download-Course-Brochure---Organic-LPs" data-name="Download Course Brochure - Organic LPs" method="get" class="form__download-brochure" data-wf-page-id="65eecc52b8abfbdcebaee494"
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<input type="hidden" class="user_timezone" id="user_timezone" name="user_timezone" value="Europe/Berlin">
<input type="hidden" class="page_url" id="page_url" name="page_url" value="www.interviewkickstart.com/courses/advanced-genai-program">
<input type="hidden" class="site_url" id="site_url" name="site_url" value="www.interviewkickstart.com">
<input type="hidden" class="v_country" id="v_country" name="v_country" value="Germany">
<input type="hidden" class="" id="" name="Course" value="Front-end">
</div>
<div class="form__step1">
<h3 class="form-card__title">Download the Front-End Engineering<br>Course Brochure</h3>
<p class="form-card__sub-text">Get all the details about the course & pricing.</p>
<div class="w-layout-grid grid-33">
<div id="w-node-e28b509a-9ca0-e911-c7c8-7ded0119d8e6-ebaee494"><label for="First-Name-2" class="form-label-1">First name <span class="fname-error hide">*required</span></label><input class="form-input first-name w-input" maxlength="256"
name="First-Name-2" data-name="First Name 2" placeholder="First name" type="text" id="First-Name-2"></div>
<div id="w-node-e28b509a-9ca0-e911-c7c8-7ded0119d8ec-ebaee494"><label for="Last-Name-3" class="form-label-1">Last name <span class="lname-error hide">*required</span></label><input class="form-input last-name w-input" maxlength="256"
name="Last-Name-3" data-name="Last Name 3" placeholder="Last name" type="text" id="Last-Name-3"></div>
<div id="w-node-e28b509a-9ca0-e911-c7c8-7ded0119d8f2-ebaee494"><label for="Phone-Number" class="form-label-1">Phone number <span class="mobile-error hide">*required</span></label><input class="form-input phone w-input" maxlength="256"
name="Phone-Number" data-name="Phone Number" placeholder="Enter contact number" type="text" id="Phone-Number"></div>
<div id="w-node-e28b509a-9ca0-e911-c7c8-7ded0119d8f8-ebaee494"><label for="Email-Address-7" class="form-label-1">Email address <span class="email-error hide">*required</span></label><input class="form-input email w-input" maxlength="256"
name="Email-Address-7" data-name="Email Address 7" placeholder="Enter email address" type="text" id="Email-Address-7">
<div class="spacer _32"></div><label class="w-checkbox checkbox-field mr-20-2"><input type="checkbox" name="checkbox-2" id="checkbox-2" data-name="Checkbox 2" class="w-checkbox-input" checked=""><span class="check-box-text w-form-label"
for="checkbox-2">By providing your contact information you agree to our <a href="#" target="_blank">Privacy Policy</a></span></label>
<div class="text-center"><a data-cta-id="download_course_brochure_step_1" href="#" class="form-cta btn-download-brochure w-button">Download Brochure</a>
<div class="spacer-3 _16"></div>
</div>
</div>
</div>
</div>
<div class="form__step2">
<h3 class="form-card__title">Almost there...</h3>
<div class="spacer _20"></div>
<div class="w-layout-grid grid-33">
<div id="w-node-e28b509a-9ca0-e911-c7c8-7ded0119d90e-ebaee494"><label for="Work-Experience" class="form-label-1">Your work experience (in years)</label><select id="Work-Experience" name="Work-Experience" data-name="Work Experience"
class="form-select-2 w-select">
<option value="">Select one...</option>
<option value="0-2">0-2</option>
<option value="3-8">3-8</option>
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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 : 36 Secs Register for webinar ELEVATE YOUR MACHINE LEARNING CAREER WITH ADVANCED GENERATIVE AI Learn to scale with LLMs that drive the most advanced applications and features. * Learn the basics + newer models and advanced concepts * Get practical skills to deploy and inference LLMs * Capstone Project with FAANG+ instructors for real-world application 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) Register for Pre-enrolment Session Learn more about the course & pricing It's Free NEXT WEBINAR STARTS IN 01 Day : 02 Hrs : 59 Mins : 36 Secs Libraries and ModelsCourse HighlightsEligibility CriteriaInstructorsTestimonialsCurriculum Libraries and ModelsCourse HighlightsEligibility CriteriaInstructorsTestimonialsCurriculum WHAT LIBRARIES AND MODELS DOES THIS COURSE COVER? Denoising Diffusion Implicit Models (DDIMs) Alpaca model Langchain Diffusion models such as DDPM and Stable Diffusion and many more. Best suited for ML Engineers Applied Scientists Data Scientists WHY CHOOSE THIS COURSE? PREPARE FOR GENAI’S FUTURE Learn not just foundational concepts, but also prepare for tomorrow’s GenAI with newer models and advanced concepts DESIGN AND IMPLEMENT LLMS Get practical skills for LLM such as supervised fine-tuning, prompt engineering, instruction fine-tuning, and RLHF CAPSTONE PROJECT Train and fine-tune GenAI models for real-world use. Gain skills demanded by top tech companies for scaling AI applications and features. EVALUATE GENERATIVE MODELS Use metrics to assess model quality, understand outputs, and address biases. DIVERSE AI APPLICATIONS Apply GenAI across text, image, and multimodal uses, including visual transformers ENGAGE WITH THE LATEST RESEARCH Stay informed on the most recent advancements and research in Generative AI Register for webinar It's Free NEXT WEBINAR STARTS IN 01 Day : 02 Hrs : 59 Mins : 36 Secs Course Highlights 360’ interview preparation Build successful interview strategies and practice answering the toughest security engineering interview questions Extensive coverage of interview relevant Security Engineering topics such as Applied Cryptography, Application, Network and Cloud Security and more Get mentored by our highly experienced instructors working as active hiring managers and at FAANG+ companies and know exactly what it takes to ace tech and managerial interviews. COURSE HIGHLIGHTS: THE FUTURE OF GENAI (Program duration: 8 to 9 weeks) DEEP UNDERSTANDING OF CURRENT AI TECHNOLOGIES Learn state-of-the-art AI technologies such as LLMs, Diffusion Models, and Reinforcement Learning in depth PREPARE FOR THE FUTURE OF AI Equip yourself to enter the future of AI and AI-related jobs with advanced concepts such as Multi-Modality and Visual Transformers. ETHICAL UNDERSTANDING AND RISK MITIGATION Special module on ethical AI development and risk mitigation CAPSTONE PROJECT Hands-on Capstone Project on how to deploy and inference projects on AWS CAREER ADVANCEMENT AND VERSATILITY Industry-focused practical learning, including Model Training, Deployment, and Optimization DIVERSE AI APPLICATIONS Apply GenAI across text, image, and multimodal uses, including visual transformers. ELIGIBILITY CRITERIA Machine Learning Engineers, Applied Scientists, Data Scientists, who are looking to master LLMs and Generative AI Professionals looking to integrate and scale LLM-driven applications, features, or products PREREQUISITES Knowledge of Python or another scripting language Prior experience in basic/classical ML modeling/prototyping Beginner-level comfort with Deep Learning concepts 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. 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 - Generative AI FAANG+ Leader 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. 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. STUDENTS WHO CHOSE TO UPLEVEL WITH IK GOT PLACED AT Siva Karthik Gade SDE, Machine Learning Sai Marapa Reddy SWE, Machine Learning Safir Merchant SWE, Machine Learning Jameson Merkow Principal AI Engineer Sayan Banerjee Data Scientist II Mike Kane Lead Data Engineer, Analytics Akshay Lodha Data Engineering & Analytics Anju Mercian Data Engineering Consultant Alokkumar Roy Data Engineer 20,000+ Tech professionals trained $1.2M Highest offer received by an IK alum 53% Average salary hike received by alums WHAT YOU’LL LEARN: THE FULL ADVANCED GENAI CURRICULUM Deep Learning Primer Session 1 1 DEEP LEARNING BASICS 2 TOKENIZATION, EMBEDDINGS, SEQUENCE 3 NEURAL ARCHITECTURES: TRANSFORMERS, BERT Gen AI: Background Session 2 1 TRANSFORMERS 2 SEQ2SEQ MODELS AND LLMS 3 METRICS Deep-Dive into LLMs Session 3 1 INTRODUCTION TO LLMS 2 PRE-TRAINING AND SELF-SUPERVISION 3 SCALING LAWS LLMs in Production Session 4 1 CHALLENGES IN MULTI-TASK LEARNING 2 OPTIMIZING LLMS IN PRODUCTION Diffusion Models Session 5 1 DIFFUSION PROCESS (DDPM) AND STABLE DIFFUSION 2 FINE-TUNING DIFFUSION MODELS 3 LATENT DIFFUSION 3 VISUAL TRANSFORMERS - KEY PAPERS & MODELS 3 VISUAL TRANSFORMERS AND APPLICATIONS Multimodal Models Session 6 1 THEORY AND EXAMPLES OF MULTIMODAL MODELS 2 MULTIMODAL LEARNING PROCESS Reinforcement Learning from Human Feedback Session 7 1 RLHF AND CURRENT ADVANCEMENTS 2 RL-BASED FRAMEWORKS FOR LLMS Capstone Project Session 8 1 CREATE A LLM-BASED APPLICATION WITH AWS SUPPORT FOR DEPLOYMENT AND INFERENCING Register for webinar It's Free Try 7-Day Email Course for FREE NEXT WEBINAR STARTS IN 01 Day : 02 Hrs : 59 Mins : 36 Secs A TYPICAL WEEK AT INTERVIEW KICKSTART This is how we make your journey structured and organized. Our learners spend 10-12 hours each week on this course. SUN Attend online live sessions Attend 4-5 hour live sessions covering concepts & applications of module concepts Each class covers a wide variety of approaches, fully hands-on with problems and frameworks to solve them to reflect latest advancements in the field Live feedback from a Tier-1 tech instructor MON-WED Practice problems & case studies Practice the concepts taught in live sessions to solve assignment questions Live doubt-solving from FAANG+ instructors THU 1:1 access to instructors 2 hour review session covering assignment solution walkthrough on the current week's topics and other best practices EVERY DAY 1:1 access to instructors Personalized coaching from FAANG+ Instructors Individualized and detailed attention to your questions Contact for Pricing HOW TO ENROLL FOR THE ADVANCED GENAI PROGRAM Learn more about Interview Kickstart and the Advanced Generative Course 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 : 36 Secs Already preparing or want a sneak peek? Try the FE Interview Prep 7-day email course FAQS ON ADVANCED GENAI PROGRAM 1 What to look for in the Advanced Generative AI course from Interview Kickstart? The Advanced Generative AI course has been developed collaboratively with FAANG+ instructors who work on cutting-edge Generative AI technology in their respective organizations. This direct involvement enriches the curriculum and benefits participants to access real-world applications of concepts, case studies, and best practices. The course begins with building a solid foundation for Generative AI through comprehensive sessions on Deep Learning Primers and Neural Architectures. The history, development, and essential foundational concepts are covered further in the GenAI Background session. Once the core foundation is set, the learners deep dive into the latest Generative AI technology such as LLMs, Diffusion Models, Multimodal Models, Fine-tuning, Reinforcement Learning, and RLHF in a structured manner, thereby ensuring a holistic learning experience. As the landscape of Generative AI evolves, so does our course content, ensuring it remains pertinent and comprehensible to a broader audience. This course is rigorous, covering the length and breadth of Generative AI with the latest technology and key developments. Our capstone projects, co-created by FAANG+ instructors ensure you learn to create LLM-based applications and hands-on implementation with AWS access for deployment. 2 Who is this Advanced Generative AI course ideal for? Interview Kickstart’s Advanced Generative AI course is ideal for ML Engineers, Applied Scientists, and Data Scientists already familiar with the core ML concepts and looking to dive into the world of Generative AI with LLMs and Diffusion Models. 3 Are there any required programming skills needed before enrolling in this Generative AI course? The program is for Machine Learning Engineers and Data Scientist professionals with hands-on experience with Python and classical ML. Some foundational understanding of Deep Learning and Neural Networks would be a plus! 4 What sets Interview Kickstart’s Advanced Generative AI course apart from others? Comprehensive and Practical: Interview Kickstart’s course on Advanced Generative AI is comprehensive and has a practical approach. We prioritize focus on learning real-world applications. Participants dive straight into learning the Deep Learning basics, Tokenization, Embeddings, and Sequence, then understand the Gen AI background and its models like Transformers and Seq2Seq. Furthermore, professionals also learn to optimize LLMs in production. In addition to this, they learn diffusion processes, fine-tuning diffusion models, visual transformers and applications, and Reinforcement Learning from Human Feedback. Instructor Pool: Our Advanced Gen AI 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. Future-ready: The course deepens into advanced concepts such as Multi-modality and Visual transformers to prepare you for the AI-driven economy. Capstone Projects: The Generative AI course includes a variety of comprehensive projects, each tailored to mirror real-world projects running across various industries. Co-created by FAANG instructors, the course ensures you are well-equipped to tackle any challenge that can come your way. 5 What are the key highlights of this curriculum? Master GenAI Concepts: Learn foundational and advanced generative AI topics. Design and Implement LLMs: Gain practical skills in techniques like supervised fine-tuning, prompt engineering, instruction fine-tuning, and RLHF. Hands-on Training: Train and fine-tune generative models for real-world applications. Evaluate Models: Assess model quality, understand outputs, and address biases using metrics. Diverse Applications: Apply GenAI in text, image, and multimodal contexts, including visual transformers. Stay Updated: Keep informed on the latest research and advancements in generative AI. Industry Skills: Develop expertise sought by top tech companies for scaling AI applications. 6 Do I need an AWS account or specific RAM requirements for the capstone project? No, you do not need an AWS account or any specific computational specs; we will take care of it. 7 What models and frameworks does the Advanced GenAI course cover? Transformers, LLMs in Production : Pre-training and fine-tuning, DDPM & Stable Diffusion, Visual Transformers, Multimodal Models, Reinforcement Learning : Multi-arm Bandit and Deep Q-Learning, RL-Based Frameworks for LLMs. 8 How can I apply the skills learned in the Advanced GenAI course to my current role? Advanced Generative AI course positions ML Engineers, Data Scientists and Applied Scientists to lead projects involving deep neural architectures. Professionals learning advanced generative AI concepts are qualified to take on specialist roles in organizations focusing on advanced AI applications. By learning about the latest generative AI methods, they can tackle complex problems, such as creating realistic data augmentations. 9 Will I receive a certificate after I complete the Advanced Generative AI course? Yes, the Advanced GenAI course includes a certificate of completion. 10 Are there any hands-on projects incorporated into the curriculum? Advanced Generative AI includes many hands-on projects, each crafted to deepen your understanding of Generative AI. One of the Capstone projects is an AI-powered Resume Coach that offers personalized feedback and suggestions to improve resumes. The goal is to create an LLM-based tool that personalizes resume feedback. The project utilizes LLM tuning, prompt engineers, NLP for resume analysis, and feedback loop creation for continuous improvement. 11 How long does the Advanced Generative AI course take to complete? Our Generative AI course is 10 weeks long. Our learners spend 10-12 hours each week in this course, which is fully online and designed for working professionals. 12 Can I access course materials and lectures after the course is completed? Yes, you can access all class recordings even after you complete the program. 13 How does the Advanced Generative AI course stay updated with the latest advancements in the field? The Generative AI 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. Our instructors have been a part of Google DeepMind, Amazon, and Apple and specialize in LLM, Generative AI, and career development. Already preparing or want a sneak peek? Try the FE Interview Prep 7-day email course DOWNLOAD THE FRONT-END ENGINEERING COURSE BROCHURE Get all the details about the course & pricing. 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