Complete Placement Preparation Roadmap with free Materials
MAHIDHAR A
Co-Founder @NexusHub | AI&ML Engineer | Incoming @SDE | 10K+ Linkedln | Open Source Contributor | GSSOC , GSOC 23, 24 | Finalist SIH 23, 24 | Mentor | Amazon ML - 24 | Sharing Jobs & Internships | Tech Speaker |
A solid placement preparation roadmap for Engineering students often involves a combination of technical knowledge, soft skills, and practical experience. Here are some key components and recommended subjects to focus on:
1. Core Technical Subjects:
2. Coding and Programming:
Free learning material
??Java
??Python
??C++
3. Data Structures and Algorithms:
Advance DSA topics :
??Trees
??Trie
??Graphs
4. Database Management:
??DBMS
??SQL
5. Web Development and Software Engineering:
6. Operating Systems and Computer Networks:
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7. Machine Learning and Artificial Intelligence (if applicable):
8. Soft Skills:
9. Professional Development:
10. Projects and Internships:-
Engage in meaningful projects related to your field.- Pursue internships to gain practical experience in real-world settings.
11. Resume and Interview Preparation: - Create a well-structured resume highlighting your skills, projects, and achievements. - Practice for technical and HR interviews through mock interviews. - Learn about common interview questions and how to approach them.
12. Networking: - Attend industry events, job fairs, and networking sessions. - Connect with professionals in your field, including alumni and professors.
13. Continuous Learning: - Stay updated with the latest industry trends and technologies. - Consider pursuing post-graduate studies or certifications if relevant to your career goals.
Here are some more helpful resources??
Remember that consistency and dedication are key to a successful placement preparation journey. Customize this roadmap to your specific goals and interests, and seek guidance from your college's senior's or placement cell for additional support.
Reach out to me on MAHIDHAR A if you need any help, I daily share opportunity updates and resources on Linkedin.
??? Do comment on this post if it's helpful.
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|| B.Sc Hons in CSE Data-Science'24 || Actuary||Acturial Science Student ||ACET || CS1 || Machine Learning ||Member of Rotaract club||QA tester||MERN Stack || Aspiring Software Developer || Data Analytics || Teacher
8 个月Thanks for sharing
B.E. AIML'25 | β MLSA | NPTEL Star | Python Intern at Infosys Springboard | Pieces AI Ambassador | Exploring AI/ML Roles!
8 个月Very helpful!
AIML Student at Malla Reddy University || Social media Lead - Google DG'24 || Programmer || Amazon WOW mentee || Data Engineer Enthusiast
8 个月Insightful!
Data Analyst & Machine Learning | Student at MallaReddy University | Talks about Python UI&UX, AWS | Dream job as a Data Analyst
8 个月Hey MAHIDHAR A that's really ah great roadmap I've been through... Can you share the platforms that are best for learning them a bit more clearly... I hope that mentioning will help beginners to have ah good start ??
Co-Founder @NexusHub | AI&ML Engineer | Incoming @SDE | 10K+ Linkedln | Open Source Contributor | GSSOC , GSOC 23, 24 | Finalist SIH 23, 24 | Mentor | Amazon ML - 24 | Sharing Jobs & Internships | Tech Speaker |
8 个月SHARE WITH YOUR NETWORK ....THIS might be helpful Show your Support......