Rohini’s Inspiring Journey from Fresher to AI Engineer

Have you ever wondered how someone from a non-IT background can become an AI Engineer in today’s competitive industry? Meet Rohini, who transformed her career from teaching into Artificial Intelligence through dedication, continuous learning, and the right mentorship. After completing her Master’s degree in Statistics, she decided to switch her career into Data Science and AI with a strong determination to succeed.

Her journey was filled with challenges. With only basic knowledge of Python, Rohini joined to build her skills in Python, Machine Learning, and Deep Learning through practical learning and daily practice. Her consistent efforts and trainer support helped her gain confidence in solving real-world AI problems.

The biggest turning point came when Rohini cracked her very first client interview opportunity and secured an AI Engineer role in Mumbai. From solving Python programming questions to building a CNN image classification model, she proved her practical AI skills during the interview process. Her inspiring journey shows that patience, effort, and the right guidance can help anyone build a successful AI career.

Rohini’s Journey from Teaching Profession to AI Engineer: Complete Q&A

This Q&A session highlights Rohini’s complete journey from a Statistics background and teaching profession to securing a role as an AI Engineer, covering her learning experience, internship journey, interview preparation, and placement success.

1. Can you introduce yourself and share your educational background?

My name is Rohini. I completed my Master’s degree in Statistics in 2023, and currently, I am located in Pune. After completing my studies, I worked in the teaching profession for around two years. Later, I decided that I wanted to switch my career into Data Science and Artificial Intelligence.

2. Why did you decide to move from teaching into Artificial Intelligence?

I wanted to build my career in AI and Data Science because I found the field very interesting and full of opportunities. I wanted to move into the IT industry and learn advanced technologies like Machine Learning and Deep Learning.

3. How did your journey in AI begin?

I decided to join the DataMites AI Engineer course to build my career in Artificial Intelligence and Data Science. After completing the course in December, I started my internship as a Data Science and AI Intern at Rubix. Later, I successfully got placed as an AI Engineer at Ease My AI.

4. How was your overall learning experience during the AI course?

The experience at DataMites was really very good. The trainers, learning environment, placement support, and teaching methods at DataMites were all very helpful. The trainers explained every concept properly, from basic to advanced level, which helped me build strong knowledge in AI and Python.

5. Were you completely new to Python before joining the course?

My background was in Statistics, so I was somewhat aware of Python, but I was not proficient in it. I did not have intermediate-level knowledge either. After joining the course, I learned Python from the basics to advanced concepts.

6. How did the trainers help you improve your technical skills?

The trainers provided a very flexible learning environment. They encouraged us to ask questions, clear doubts, and improve our skills continuously. Even though switching from a non-IT background to IT can be difficult, I was able to overcome those challenges with proper guidance from the trainers.

7. How many hours did you study daily during your preparation?

During my classes, I studied regularly and practiced consistently. I used to spend around three to four hours daily revising concepts, solving programming questions, and understanding Deep Learning and Machine Learning algorithms properly.

8. Did you use any external study materials or YouTube channels?

No, I mainly focused on the materials and concepts taught during the classes. I revised everything after coming home and practiced regularly. Whenever I had doubts, I directly contacted the trainers and cleared them.

9. Which technical topics did you learn during the course?

I learned Python, SQL, Machine Learning, Deep Learning, AI Engineering concepts, and various algorithms. I also learned topics related to neural networks and image processing.

10. How useful was the Learning Management System (LMS)?

The LMS and class materials were very helpful. Whenever I needed support, I referred to the provided resources and revised concepts accordingly.

11. Can you tell us about your internship experience?

After completing the course, I applied for an internship and was accepted within around 15 days. I worked on projects for three months during the internship period. Whenever I faced any issues, the internship team supported me and helped me complete the tasks successfully.

12. How did you prepare for mock interviews?

I prepared by revising Python, Machine Learning, and Deep Learning concepts properly. The mock interviews mainly included logical and technical questions related to these subjects.

13. What kind of questions were asked during the mock interview?

The questions were mainly related to Python, Machine Learning, and Deep Learning topics such as Recurrent Neural Networks, LSTM, vanishing gradient problem, underfitting, and overfitting. The questions were not too difficult if you had studied properly.

14. Did the placement team help you prepare your resume?

Yes, the placement team helped me a lot. I shared my resume with them, and they guided me on how to make it ATS-friendly. They provided proper resume formats and suggested improvements. After making the changes, my resume became more professional and suitable for AI roles.

15. Can you explain the interview process for the AI Engineer role?

There were three interview rounds, including an online programming round, an offline technical round in Mumbai with Python, Machine Learning, and Deep Learning questions, and a CNN image classification task. The final round was the HR interview related to relocation and career discussions.

16. Which technical skills are important for cracking AI interviews?

Strong knowledge of Machine Learning and Deep Learning is very important. Candidates should understand concepts clearly and be able to answer technical questions confidently. Python programming skills are also very important for AI Engineer roles.

17. What advice would you give to students preparing for AI careers?

Students should stay patient, practice regularly, and put continuous effort into learning. If you build strong concepts in Machine Learning and Deep Learning, you can definitely build a successful career in AI even if you come from a non-IT background.

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Key Takeaways from Rohini’s Journey to Becoming an AI Engineer

Rohini’s journey offers valuable inspiration and practical insights for aspiring AI and Data Science professionals looking to transition into the technology industry:

• Rohini’s journey shows that candidates from non-IT backgrounds can successfully transition into Artificial Intelligence and Data Science with consistent learning and proper guidance.
• Her shift from the teaching profession to becoming an AI Engineer highlights the growing opportunities available in the Artificial Intelligence industry for freshers and career switchers.
• Rohini started with only basic knowledge of Python, but continuous practice and structured training at DataMites helped her strengthen her programming skills from beginner to advanced level.
• Studying regularly for three to four hours daily helped her improve her understanding of Python, Machine Learning, and Deep Learning concepts.
• The trainers at DataMites played an important role in clearing her doubts, improving her technical clarity, and helping her build confidence throughout the learning journey.
• Her internship experience as a Data Science and AI Intern provided practical exposure to real-time projects and strengthened her problem-solving abilities.
• Mock interviews helped Rohini prepare for technical interview questions related to Python, Machine Learning, and Deep Learning, improving her confidence during placements.
• The placement support team at DataMites guided her in building an ATS-friendly resume and preparing effectively for client interviews.
• Rohini successfully cleared her very first client interview, proving that strong preparation and practical knowledge can help freshers achieve success in Artificial Intelligence careers.
• Her interview process included Python programming tasks, Machine Learning and Deep Learning discussions, and building a CNN model for image classification, highlighting the importance of practical AI skills.
• Rohini emphasized that patience, confidence, and continuous effort are essential for building a successful career in Artificial Intelligence.

Overall, Rohini’s journey at DataMites demonstrates how structured training, practical exposure, and consistent practice can help learners build a strong career in AI and Data Science.

Refer to these articles:

• How a Fresher Can Become an AI Developer: Sahil’s AI Career Journey
• From Fresher to AI Engineer: Sagar’s AI Career Journey
• Golla Anand’s Journey from Fresher to Python Developer

Rohini began her journey with the goal of entering Artificial Intelligence and enrolled in the Artificial Intelligence Course in Pune at DataMites. The program provided hands-on training in Python, Machine Learning, and Deep Learning, along with practical projects and internship exposure. With consistent practice and trainer support, she built strong technical skills and successfully prepared herself for AI Engineer interviews.

DataMites Training Institute offers a 9-month Artificial Intelligence program designed to build job-ready skills through hands-on training, real-world projects, and ethical AI practices, as the demand for IT Courses continues to rise across industries. The course includes career-focused paths such as AI Engineer, AI Specialist, AI for Product Managers, AI Foundation, and Certified NLP Professional, helping learners choose based on their goals. With globally recognized certifications from IABAC and NASSCOM FutureSkills, DataMites equips learners with practical knowledge, industry exposure, and confidence to work in real-world AI and machine learning roles aligned with growing demand for IT Courses in the digital era.

If you are from Maharashtra and looking to begin your AI career, DataMites can be a reliable option to explore. Along with its presence in Pune, it also offers an Artificial Intelligence Course in Mumbai, making quality AI education accessible across major cities. Focused on practical training, expert mentorship, and industry-relevant skills, DataMites helps learners build a strong foundation and confidently progress toward a successful career in artificial intelligence.