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How to Nail your next Technical Interview

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Engineering Management Course
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Elevate your Leadership in the AI Era

Step into the future of management by mastering the integration and application of AI in your leadership role.

Backend Engineers!
Get interview-ready with lessons from FAANG+ engineers
Master core Back-end interview concepts
Sharpen your coding and system design interview skills
Backend Engineering Program
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Learn more about the course & pricing
It's Free
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Students who chose to uplevel with IK got placed at

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Pratik Agarwal
Software Development Engineer ll
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Suat Mercan
Senior Software Engineer
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Anshul Bansal
Software Engineer
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Kishore Periassamy
Software Development Engineer
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Harisha Chemuru
Software Engineer
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Vinayak Prabhu
System Development Engineer
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Kelsi Lakey
Software Engineer
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Shrey Shrivastava
Software Development Engineer ll
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Akshay Chandrachood
Software Engineer
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Aniruddha Tekade
Senior Software Engineer
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15K+
Tech professionals trained
53%
Average salary hike received by alums
Best suited for
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Engineering Managers, who are enthusiastic about AI and are hoping to use AI as a efficient tool/extra hands to assist in their day to day job.

Why choose this course?

Comprehensive Curriculum

Program by FAANG+ ML Engineers

360° course designed and taught by FAANG+ experts
Rigorous Mock Interviews

Project based Learning

Understand AI and applications with real-life case studies
Plenty of 1 x 1 Help

Strategic Vision

Align AI capabilities with your organization's goals and objectives
Career Skills Development

Informed Decision-making

Enhance your decision-making capabilities with AI-driven insights
Salary Negotiation

Operational Excellence

Integrate AI seamlessly into processes and workflows, ensuring optimal results
Salary Negotiation

Problem-solving Mastery

Elevate your problem-solving skills by leveraging AI tools and Prompt Engineering

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Meet your instructors

Our highly experienced instructors are active hiring managers and employees at FAANG+ companies and know exactly what it takes to ace tech and managerial interviews.
Marcelo Lotif Araujo

Ning Rui

Data Science Manager
15+ years experience
Amazon Web Services
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Marcelo Lotif Araujo

Marcelo Lotif Araujo

Senior Machine Learning Engineer
6+ years experience
Assent
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Yongwhan Lim

Yongwhan Lim

Co-Founder
15+ years experience
Christian and Grace Consulting LLC
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Eric Brattain

Eric Brattain

Machine Learning Engineer
15+ years experience
VideaHealth
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Built for working professionals

Here’s what a typical week would look like:

Sunday

4-hour Live Classes in the morning

Thursday

2-hour session in the evening to discuss assignments and problem solutions

Once a week

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

Engineering Management Interview Course Curriculum

Introduction and Overview of the AI Landscape
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1 week
1

Evolution of AI/ML

  • Past, present, and the trajectory for the future.
  • Current state of ML frameworks and platforms (like Tens or Flow, PyTorch).
2

AI in business

  • Opportunities, challenges, and strategic importance.
  • Overview of the ML lifecycle
  • Key ML/AI terminology and concepts refresher
Process Automation and Streamlining
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1 week
1

Using AI to forecast project timelines, resources needed, and potential risks.

2

Ensuring continuous product or project improvement based on stakeholder feedback.

3

An overview of tools like Zapier, Integromat, and AI-driven custom solutions for connecting and automating tasks across different platforms Keeping the balance between automation and human intervention.

Driving Innovation through AI
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1 week
1

How AI can parse through code for errors, inefficiencies, and possible refactoring opportunities.

2

Prediction-based coding

  • How AI can suggest code snippets.
3

Using AI to streamline the onboarding process for new developers.

4

Understanding and mitigating biases in AI

Predictive Maintenance and Collaborations with AI
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1 week
1

How ML can aid in communication and synchronization across teams

2

ML to the Rescue

  • Why wait for breakdowns? Understand the mechanics behind predictive maintenance.
  • Tools that facilitate ML-driven collaboration
3

Case Study

  • Using AI to categorize and prioritize cross-functional team requests
ML-Driven Decision Making and Strategy Development
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1 week
1

How data-driven insights can shape engineering decisions

2

Predictive modeling for software project outcomes.

3

AI in Roadmaps

  • Using AI to categorize and prioritize cross-functional team requests
4

Case Study

  • Simulate the outcomes of different strategic decisions (e.g., choosing to prioritize one feature over another) to predict their impact on user engagement and retention.
Improving Collaborative Workflows with NLP
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1 week
1

Analytics in Communication

  • How text analytics can prevent project derailments.
  • Quickly identify main points discussed during team meetings by using ML models Using AI scripts to generate and categorize regular reports, updates, or notifications
2

Case Study

  • Automating report categorization and meeting summaries for action items.
Optimal Resource Allocation - Maximizing Team Potential
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1 week
1

Art of Optimization

  • Beyond gut-feeling - allocating resources using algorithms.
  • Quickly identify main points discussed during team meetings by using ML models Using AI scripts to generate and categorize regular reports, updates, or notifications
2

Productivity Analytics

  • Can ML predict team productivity?
3

Unleashing Clusters

  • Dive deep into cluster analysis for balanced task distribution
4

Case Study

  • Accelerating release cycles and refining product development timeline.
Prompt Engineering for Engineering Managers
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1 week
1

Prompt Engineering Basics

  • Understand the mechanics and philosophy behind well-constructed prompts
2

Feedback Loops

  • Using prompt responses to iterate and refine future prompts and streamline processes.
3

Automating Routine Tasks with Prompts

  • Utilizing prompts in automated systems to gather information, trigger events, or request feedback.
4

Error Handling and Advanced Considerations

  • Techniques for ensuring reliability and accuracy in prompt responses.

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Practice and track progress on UpLevel

UpLevel will be your all-in-one learning platform to get you FAANG-ready, with 10,000+ interview questions, timed tests, videos, mock interviews suite, and more.
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Mock interviews suite
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On-demand timed tests
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In-browser online judge
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10,000 interview questions
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100,000 hours of video explanations
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Class schedules & activity alerts
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Real-time progress update
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11 programming languages
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Course Brochure

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