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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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Software Engineers Course
Software Development in the AI Age
Integrate machine learning seamlessly into your software engineering journey
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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
Pratik Agarwal
Software Development Engineer ll
Suat Mercan
Senior Software Engineer
Anshul Bansal
Software Engineer
Kishore Periassamy
Software Development Engineer
Harisha Chemuru
Software Engineer
Vinayak Prabhu
System Development Engineer
Kelsi Lakey
Software Engineer
Shrey Shrivastava
Software Development Engineer ll
Akshay Chandrachood
Software Engineer
Aniruddha Tekade
Senior Software Engineer
Best suited for
Software Engineers, Frontend Engineers, Backend Engineers, Full Stack Engineers, 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
Automation Excellence
Learn to leverage AI for efficient software task automation
Modern Tools & Techniques
Get hands-on with cutting-edge ML/AI tools pivotal for software
Engineer Better Solutions
Integrate machine learning and traditional software practices for robust systems
Enhanced Career Prospects
Acquiring machine learning skills can significantly boost your career prospects as a software engineer
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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:
Software Engineers Interview Course Curriculum
Machine Learning For Everyone
1 week
1
Machine Learning for Everyone: Demystifying AI and Building Strategies for Working Professionals
2
Realistic Expectations from AI
3
Identifying Opportunities for AI
4
Experience of Building ML Projects
5
Collaboration with AI Teams
6
Crafting an AI Strategy
Python Programming Refresher
1 week
1
A refresher on Python programming;
- Setup Python environment and learn important syntax for Python
Python for Data Analysis
1 week
1
Gain a solid foundation in data analysis using three essential libraries: NumPy, Pandas, and Matplotlib.
2
These libraries are fundamental tools for data manipulation, exploration, visualization, and analysis.
EDA & Feature Engineering with Python
1 week
1
Get started with Exploratory Data Analysis; Utilize Python libraries to load, visualize, and summarize datasets.
2
Apply feature engineering techniques to create new features and transform existing ones and prepare the dataset for modelling
3
Salary Negotiation Masterclass
Log Data Analysis and Anomaly Detection
1 week
1
Analyze server log data to identify patterns and anomalies.
2
Build a model to automatically detect abnormal behavior in the log files, which can help engineers proactively address issues.
Anomaly Detection in Server Metrics
1 week
1
Develop a model to detect anomalies in server metrics such as CPU usage, memory consumption, and network traffic.
2
This can aid in identifying and mitigating performance issues
API Performance Prediction
6 months
1
Utilize historical API usage data to predict performance metrics like response time based on various factors such as payload size, request method, and endpoint.
2
This can help optimize API performance.
Deployment Health Monitoring
1 week
1
Develop a system that monitors the health of deployed services and predicts potential failures.
2
It can be used for to enhance the reliability of their applications.
Next webinar starts in
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Days
:
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Hrs
:
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:
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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
Thank you!
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