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How to Nail your next Technical Interview
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Nick Camilleri
Head of Career Skills Development & Coaching
*Based on past data of successful IK students
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Engineering Management Course
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.
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Learn more about the course & pricing
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Students who chose to uplevel with IK got placed at
Pratik Agarwal
Software Development Engineer ll
Suat Mercan
Senior Software Engineer
Anshul Bansal
Software Engineer
Kishore Periassamy
Software Development Engineer
Vinayak Prabhu
System Development Engineer
Kelsi Lakey
Software Engineer
Shrey Shrivastava
Software Development Engineer ll
Aniruddha Tekade
Senior Software Engineer
Best suited for
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?
Program by FAANG+ ML Engineers
360° course designed and taught by FAANG+ experts
Project based Learning
Understand AI and applications with real-life case studies
Strategic Vision
Align AI capabilities with your organization's goals and objectives
Informed Decision-making
Enhance your decision-making capabilities with AI-driven insights
Operational Excellence
Integrate AI seamlessly into processes and workflows, ensuring optimal results
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.
Ning Rui
Data Science Manager
15+ years experience
Amazon Web Services
Learn more
Marcelo Lotif Araujo
Senior Machine Learning Engineer
6+ years experience
Assent
Learn more
Yongwhan Lim
Co-Founder
15+ years experience
Christian and Grace Consulting LLC
Learn more
Eric Brattain
Machine Learning Engineer
15+ years experience
VideaHealth
Learn more
Built for working professionals
Here’s what a typical week would look like:
Engineering Management Interview Course Curriculum
Introduction and Overview of the AI Landscape
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
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
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
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
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
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
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
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.
Next webinar starts in
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Hrs
:
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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.
Mock interviews suite
On-demand timed tests
In-browser online judge
10,000 interview questions
100,000 hours of video explanations
Class schedules & activity alerts
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Real-time progress update
11 programming languages
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