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Switchup: TRANSFORM YOUR CAREER
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Transition to AI/ Machine Learning Engineering roles at Tier-1 companies

Courses specially designed for

Back End Engineers | Full Stack Engineers |
Cloud Engineers, Data Engineers | Data Analysts

Taught by FAANG+ AI/ML Instructors

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Learn more about the course & pricing
It's Free

Tools Covered

React JS

Next JS

Node JS

Postgre SQ

20,000+

Tech professionals trained

$1.28M

Highest offer received by an IK alum

53%

Average salary hike received by alums

CRM Project for Interns – Full stack with Cloud Deployment

WEEKS 1-19: Development Phase with Agile

User Authentication
4 Weeks
1

Basic Authentication Setup

  • Design the login and registration forms.
  • Implement secure password storage and hashing.
  • Set up session management for logged-in users.
2

Testing and Initial Cloud Setup following change management process

  • TAB/CAB call for change presentation and approval
  • Initial testing of authentication features.
  • Setup basic cloud infrastructure for testing deployments (on AWS).
Lead Management Core Functions
6 weeks
1

Adding and Managing Leads

  • Develop interfaces for adding, updating, and deleting leads.
  • Implement backend logic to handle CRUD operations securely.
  • Ensure data validation and error handling are robust.
2

Enhanced Testing and Intermediate Cloud Deployment

  • TAB/CAB call for change presentation and approval
  • Deploy updates to the cloud and conduct further testing.
Advanced Lead Management
4 weeks
1

Follow-Ups and Enhancements

  • Add functionality to record follow-up activities.
  • Implement advanced search and filtering capabilities.
  • Enhance the UI for better user experience.
2

Final Feature Testing and Preparation for Full Cloud Deployment

  • TAB/CAB call for change presentation and approval
  • Complete testing of all functionalities.
  • Prepare the application for full deployment.
Reporting
3 weeks
1

Implementation of Reporting Tools

  • Design and implement a reporting dashboard.
  • Develop functionalities for generating, exporting, and viewing various reports.
2

Final Testing and Deployment

  • Conduct thorough testing of all features.
  • Prepare documentation and user manuals.
  • Final deployment to the cloud environment.

WEEKS 20-23: Cloud Deployment and Optimization

Cloud Infrastructure Setup and Initial Deployment
WEEK 20
  • Design the login and registration forms.
  • Implement secure password storage and hashing.
  • Set up session management for logged-in users.
CI/CD Pipeline Integration
WEEK 21
  • Implement Continuous Integration and Continuous Deployment (CI/CD) pipelines using Jenkins, GitHub Actions, or GitLab CI.
  • Automate the deployment process, including integration tests, build steps, and deployment to staging environments.
  • Teach students how to manage and monitor deployments using version control systems and integrated development environments.
Performance Tuning and Security Enhancements
WEEK 22
  • Conduct performance tuning to optimize the application for better speed and efficiency.
  • Implement security best practices in the cloud, such as managing access controls, securing APIs, and encrypting sensitive data.
  • Setup monitoring and alerting using tools like Amazon CloudWatch, Google Operations (formerly Stackdriver), or Azure Monitor.
Final Testing, Documentation, and Project Presentation
WEEK 23
  • Perform final testing, including load testing and security testing to ensure that the application can handle real-world usage scenarios.
  • Prepare comprehensive documentation detailing the deployment process, architecture decisions, and how to use the CRM system.
  • Organize a demo day where students present their deployed applications to peers, instructors, and possibly industry professionals. Gather feedback and discuss the learning outcomes.

WEEK 24: Career Development and Professional Readiness

Resume Building
  • Conduct workshops on how to create impactful resumes.
  • Provide one-on-one sessions to tailor resumes to highlight relevant skills and experiences from the internship.
  • Teach the importance of action verbs, quantifiable achievements, and a clean layout.
LinkedIn Profile Optimization
  • Offer guidelines and best practices for crafting a professional LinkedIn profile.
  • Review and provide feedback on each intern’s LinkedIn profile.
  • Discuss strategies for network building and engaging with content on LinkedIn.
Interview Preparation
  • Organize mock interviews with feedback sessions to improve response strategies and demeanor.
  • Teach behavioral interview techniques and how to structure responses using the STAR method (Situation, Task, Action, Result).
  • Provide tips on how to research companies and the importance of asking insightful questions during interviews.
Professional Etiquette and Networking
  • Discuss professional etiquette, including communication, attire, and email correspondence.
  • Teach effective networking strategies and how to maintain professional relationships.
  • Invite industry professionals for a networking session to provide real-world insights and potential job opportunities.
Register for webinar
Learn more about the course & pricing
It's Free

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.

instructor

Matt Nickens

Manager, Data Science
10+ years experience
instructor-cmpny
Linkedin
instructor

Matt Nickens

Manager, Data Science
10+ years experience
instructor-cmpny
Linkedin
instructor

Matt Nickens

Manager, Data Science
10+ years experience
instructor-cmpny
Linkedin

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

Best suited for

Software Engineers/Developers and Data Science/Engineering professionals who want to move into AI/ML Engineer roles
Anyone with basic or no understanding of Machine Learning and looking to master the domain (STEM background required)
Recent college graduates/final year undergrads who want to become AI/ML Engineers

Why choose this course?

Program by FAANG+ ML Engineers

360° course designed and taught by FAANG+ experts to help you become an ML Engineer

Individualized teaching and 1:1 help

Technical coaching, homework assistance, solutions discussion, and individual sessions

Capstone project

Exposure to real-life machine learning projects

Interview prep modules

Dedicated interview prep classes focused on helping you get 100% interview-ready

Mock interviews with FAANG+ ML Engineers

Live interview practice in real-life simulated environments with FAANG and top-tier interviewers

Career skills development

Resume building, LinkedIn profile optimization, personal branding, and live behavioral workshops
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It's Free

Get upto 15 mock interviews with                       hiring managers

Hiring managers from Tier-1 companies like Google & Apple

Interview with the best. No one will prepare you better!

Domain-specific interviews

Practice for your target domain - Machine Learning

Detailed personalized feedback

Identify and work on your improvement areas

Transparent, non-anonymous interviews

Get the most realistic experience possible

How to enroll for the Machine Learning Course?

Learn more about Interview Kickstart and the Machine Learning Course by joining the free pre-enrollment webinar.

Register for webinar
It's Free