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How to Nail your next Technical Interview

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You may be missing out on a 66.5% salary hike*

Nick Camilleri

Head of Career Skills Development & Coaching
*Based on past data of successful IK students
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FREE course on 'Sorting Algorithms' by Omkar Deshpande (Stanford PhD, Head of Curriculum, IK)

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Software 3.0: AI-Enabled Software Development

Supercharge Software Engineering with the power of AI

  • Gain skills in LLMs and prompt engineering for AI application building
  • Learn cutting-edge AI tools to boost coding efficiency, creativity, and testing automation
  • Capstone Project for real-world application of AI tools in software
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
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Cutting-edge tools & technology stack

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Why choose this course?

Comprehensive Curriculum

Efficiency & Excellence

Improve code quality, automate testing and tasks, and enhance software performance quickly
Rigorous Mock Interviews

Supercharge Productivity

Learn AI tools that enable you toward efficient software development
Plenty of 1 x 1 Help

Hands-on Experience

Learn how to build AI-powered software applications as expected in the industry
Career Skills Development

Expert-Led Curriculum

360° training program designed and taught by FAANG+ experts to help you adapt to AI/ML in software engineering
Salary Negotiation

Future-Proof Your Career

With AI skills in high demand, equip yourself with the AI/ML integration required to ensure long-term career relevance and growth
Salary Negotiation

Competitive Edge

Stay ahead of the competition and open yourself up to a wider range of job opportunities with AI and ML integration

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Course Highlights
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360’ interview preparation
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Build successful interview strategies and practice answering the toughest security engineering interview questions
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Extensive coverage of interview relevant Security Engineering topics such as Applied Cryptography, Application, Network and Cloud Security and more  
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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 Software Development

(Program duration: 8 to 9 weeks)
Comprehensive Curriculum

Deep Understanding of Current AI Technologies 

Learn key AI and ML terms and their practical use cases in software development.
Rigorous Mock Interviews

Prepare for the Future of AI

Elevate code quality and efficiency using AI-driven tools.
Plenty of 1 x 1 Help

Ethical Understanding and Risk Mitigation

Optimize software design, testing, and performance with AI techniques.
Career Skills Development

Capstone Project

Craft AI-powered applications with SOTA AI tools.
Plenty of 1 x 1 Help

Career Advancement and Versatility

Prepare for AI/ML projects with industry-relevant knowledge.
Comprehensive Curriculum

Diverse AI Applications

Gain hands-on experience with AI-driven development tools.

Eligibility Criteria

This program is best suited for:

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Software & Test Engineers looking to excel in AI-enhanced software development.
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Software Developers wishing to extend their knowledge of high-level AI concepts and work on Generative AI development projects.
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Technical Managers looking to adapt AI-centric software development practices for better efficiency

Prerequisites

Comprehensive Curriculum
Software Development Experience: Practical knowledge of software development, including familiarity with standard tools and concepts
Rigorous Mock Interviews
Software Testing Knowledge: An understanding of software testing principles and practices, although not mandatory, will be advantageous
Plenty of 1 x 1 Help
Python Knowledge: Previous exposure to Python programming is recommended for a smoother learning experience

FAANG+ Instructors to Train You in Live Classes

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

Engineering Leader - GenAI
FAANG+ Leader
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Rodrigo Salazar

Software Quality Engineer & AI Practitioner
FAANG+ Leader
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Andrew Castillo

Data Scientist
FAANG+ Leader
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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.

Davide Testuggine

Software Engineer
What turned me to IK’s course is that this course is 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.
humberto gonzales Grand

Aliya Mussina

Software Engineer
Interview Kickstart's program met all my expectations. They have well-selected problems to practice, good coaches, and practice interview opportunities. All the staff are very responsive and approachable, they are like family now. They guide you and give excellent recommendations every step of the way. I started the program while 8-month pregnant; gave birth literally in the middle of the initial 2-month coursework. The outcome depends solely on the student, the more diligent you are, the better results you get. I am very happy for all the support and confidence IK has given me!

Sanjog Jadhav

Software Development Engineer
I was able to join Amazon Web Services (AWS) as a Software Development Engineer II after completing Interview Kickstart’s amazing training program. Cracking a FAANG company interview was a huge deal for me and a major credit for this achievement goes to Interview Kickstart's coursework and instructors. All the instructors were great.

Devang Modi

Senior Software Engineer
Earlier when I was preparing 4-5 years ago, I would prepare a little, give an interview and then get back to my job. Then I would do it again but by this time I would have forgotten everything and had to refresh again. IK’s Technical Interview Training Program is very different. It was good because you start, get all the knowledge and while it’s all fresh you start giving interviews. It can get a bit overwhelming though doing all the prep because of a job and family, so you need to set aside time for that. All the instructors are good. They are thorough and knowledgeable. They don’t refer only to the curriculum, so if you ask them a different question or a different format, they are able to answer.
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Students who chose to uplevel with IK got placed at

engineering
Siva Karthik Gade
SDE, Machine Learning
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engineering
Sai Marapa Reddy
SWE, Machine Learning
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enginnering
Safir Merchant
SWE, Machine Learning
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Jameson Merkow
Principal AI Engineer
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Sayan Banerjee
Data Scientist II
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Manika Kapoor
Senior Software Engineer
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Mike Kane
Lead Data Engineer, Analytics
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Akshay Lodha
Data Engineering & Analytics
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Anju Mercian
Data Engineering Consultant
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Alokkumar Roy
Data Engineer
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20,500+
Tech professionals trained
$1.267M
Highest offer received by an IK alum
53%
Average salary hike received by alums

What You’ll Learn: The Full Software 3.0 Curriculum

AI Revolution: Transforming Software Development
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Week 1
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Explore the transformative impact of AI on software engineering, highlighting AI's pivotal role in enhancing development efficiency and innovation.

2

Dive into the evolution of AI in software engineering, showcasing key milestones and breakthroughs that have shaped the field.

3

Emphasize the practical applications of AI in the Software Development Life Cycle (SDLC), underscoring the benefits of AI-powered development.

AI-Powered Development: The Path to Efficiency
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Week 2
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Introduce cutting-edge ML-driven tools for code generation and automation, discussing their capabilities, limitations, and impact on the future of software engineering.

2

Demonstrate practical tool usage in coding scenarios, highlighting their efficiency and accuracy in enhancing development workflows.

3

Address the general need for these tools, their transformative potential, and the balance between leveraging AI capabilities and understanding their limitations.

Bug Busters: AI-Powered Testing and Detection
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Week 3
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Explore AI's role in software testing, covering essential ML-powered tools and their unique features for improving testing efficiency and accuracy.

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Show hands-on tool applications for creating and executing test cases, emphasizing the practical benefits of software testing processes.

3

Discuss the widespread necessity of these AI testing tools, their capacity to revolutionize software testing practices, and the importance of striking a harmonious balance between harnessing the power of AI and recognizing its constraints.

AI-Driven Software Design, Performance Optimization, and Documentation Creation
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Week 4
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Present AI tools that enhance software design, performance, automate code reviews, and generate documentation, highlighting their practical uses and limitations..

2

Conduct practical demonstrations of these tools in real-world scenarios, emphasizing their role in elevating code quality and efficiency.

3

Explore the challenges of relying on AI in software design and documentation, stressing the importance of understanding AI-driven recommendations and their implications.

Advanced Prompt Engineering and LLMs
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Week 5
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Delve into advanced prompt engineering techniques and the fundamentals of LLMs, emphasizing their significance in AI-enhanced software development.

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Discuss the practical application of these concepts in software development, including creating effective bug report summaries and summarizing development meeting notes.

3

Highlight the relevance of deep learning, NLP, and generative AI in software development, emphasizing the practical implications of embedding, transformers, and LLMs.

Building LLM-Powered AI Applications
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Week 6 & 7
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Tailor this session specifically for software engineers, providing an overview of constructing larger AI systems using LLM platforms like OpenAI's API, Hugging Face, etc.

2

Explore the capabilities of LLM APIs from OpenAI and Hugging Face, and start building your first AI application with us. In these focused sessions, gain the expertise to utilize advanced language models through platforms like LangChain.

3

Discuss the potential challenges and limitations of using LLMs in software development, ensuring a comprehensive understanding of their practical applications and constraints.

Capstone Project: AI-Enhanced Software Solution
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Session 8
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Participants will work on a practical project combining various AI-enhanced software development aspects.

2

Combine AI-enhanced software development aspects to design, develop, and optimize an AI-powered solution.

The curriculum is constantly being updated and is subject to change.

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Built for working professionals

This is how we structure and organize your journey. Our learners spend 10-12 hours each week on this course.

Sunday

4-hour Live Classes in the morning
Consists of introduction to fundamentals, a deep dive into case studies, and practical implementation.

Thursday

2-hour session in the evening to discuss assignments and problem solutions
Assignment review session
Solve questions and case studies based on the assignment shared with you

Once a week

1-hour technical coaching session to discuss any additional doubts
Contact for Pricing

FAQs on Software 3.0: The AI-Enhanced Software Development Program

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How do I enroll in the program?
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Why should I take the AI-Enhanced Software Development Training Program?
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Is the AI-Enhanced Software Development Training Program self-paced or live?
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Is this AI-Enhanced SDE program virtual or are there in-person classes?
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How much time would I need to put in each week for this AI-Enhanced SDE Training Program?
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What are the prerequisites for this AI-Enhanced Software Development Training Program?
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How can mastering AI/ML help software engineers get ahead in their careers?
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Will this program help me get better jobs?
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Will I have access to the modules in the AI-Enhanced Software Development Training Program after I complete the program?
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What kinds of projects will I work on in this program?
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What will this program not cover?
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Download the Front-End Engineering
Course Brochure

Get all the details about the course & pricing.

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