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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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Technical Product/Project Management Course
AI for the Modern TPM/PM
Dive into AI's transformative power to streamline projects, enhance communication, and boost efficiency
Register for webinar
Learn more about the course & pricing
It's Free
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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
TPMs and PMs, who are enthusiastic about AI and are hoping to use AI as an efficient tool/extra hands to assist in their day-to-day jobs.
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
Efficient Data Management
Manage and analyze data more effectively to generate insights
Predictive Planning
Use predictive analysis for better project planning
Improved Project Understanding
Gain a deeper understanding of projects that involve ML/AI
Boost Creativity
Enhance your creativity and innovation using AI insights and Prompt Engineering
Next webinar starts in
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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:
Technical Product/Project 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 TensorFlow, PyTorch).
2
AI in business
- Opportunities, challenges, and strategic importance
- Recursive Mathematical Functions
- Combinatorial Enumeration
- Backtracking
- Exhaustive Enumeration & General Template
- Common recursion- and backtracking-related coding interview problems
3
Overview of the ML lifecycle
4
Key ML/AI terminology and concepts refresher.
Process Automation and Streamlining
1 week
1
Using AI tools that analyze efficiency trends, tailor tasks effectively
2
Perform efficient resource allocation using optimization algorithms
3
An overview of tools like Zapier, Integromat, and AI-driven custom solutions for connecting and automating tasks across different platforms
4
Keeping the balance between automation and human intervention.
Optimising Resource and Time
1 week
1
Using AI tools that analyze efficiency trends, tailor tasks effectively
2
Perform efficient resource allocation using optimization algorithms
Cross Functional Collaboration
1 week
1
ML's role in bridging different teams (development, marketing, support)
2
ML-driven tools for project management and collaboration
3
Using tools like BERT (NLP model) to analyze and categorize incoming requests
Predictive Analysis for Program Planning
1 week
1
Using optimization libraries like SciPy or AI-driven tools to automate the scheduling of meetings or resource allocations, considering multiple constraints.
2
Predictive analytics can be used to forecast potential roadblocks, resource requirements, or project timelines
3
Libraries like Prophet can be used for forecasting user behavior or predicting feature adoption.
User Experience Personalization
1 week
1
User segmentation and behavior analysis
2
Personalizing UI/UX based on user data
3
Designing a personalized user dashboard for an e-commerce site.
Prompt Engineering
1 week
1
Fundamentals of Crafting Prompts
2
Using Prompts for Content Generation
3
Prompts for Research and Information Gathering
4
Market and Competitive Research with Prompts
5
Planning and Strategy Formulation
6
Planning and Workflow Optimization Using Prompts
Integrated Product Roll-out Planning using ML
1 week
1
Merging skills from the entire course: from process automation to predictive analysis.
2
Role of ML/AI in product launch, scalability, and post-launch analysis.
3
Case studies of how ML has been pivotal in successful product launches in the tech industry
Next webinar starts in
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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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