How Rakghitha Started Her AI Developer Career as a Fresher

Have you ever wondered how a B.Tech graduate in Artificial Intelligence and Data Science can build a successful career in AI? Meet Rakghitha, who strengthened her theoretical knowledge through the DataMites AI Engineering course and gained practical experience by completing six capstone projects and one client project. Her hands-on learning helped her develop the confidence and technical skills needed to approach real-world Artificial Intelligence challenges.

Her journey took another step forward with mock interview preparation, technical revision, and placement guidance from DataMites. After successfully completing two interview rounds, including a practical AI agent development task, Rakghitha secured an opportunity as an AI Developer at Impact Standard Business Reporting Pvt Ltd. Her story highlights how practical projects, consistent preparation, and the right guidance can help aspiring AI professionals move toward their career goals.

How Rakghitha Started Her AI Career with DataMites

Rakghitha’s journey from a B.Tech graduate in Artificial Intelligence and Data Science to an AI Developer highlights the value of practical learning and focused career preparation. Through DataMites’ AI Engineering course, hands-on projects, mock interviews, and placement guidance, she strengthened her technical skills and successfully began her professional career in the Artificial Intelligence field.

Q1: Could you tell us about your educational background and what motivated you to pursue a career in AI?

I completed my B.Tech in Artificial Intelligence and Data Science. After completing my degree, I wanted to strengthen my practical knowledge and gain a better understanding of how Artificial Intelligence is applied in real-world situations. While my academic background gave me a foundation in the subject, I wanted more hands-on experience to prepare myself for a professional career in Artificial Intelligence.

Q2: Why did you decide to join the DataMites AI Engineering course after completing your B.Tech?

After completing my B.Tech, I wanted to improve my practical skills and gain industry-oriented experience. I decided to join the DataMites AI Engineering course because I was looking for a learning approach that went beyond theoretical concepts. The opportunity to work on practical projects was one of the main reasons I chose the program.

Q3: How was your overall learning experience at DataMites?

My experience at DataMites was very good. I gained hands-on practical knowledge and learned how Artificial Intelligence is applied in real-world situations. The practical training and project work helped me strengthen my technical skills, which supported my journey toward joining Impact Standard Business Reporting Pvt Ltd as an AI Developer.

Q4: How did the practical learning approach help you improve your technical knowledge?

The practical learning approach helped me apply the concepts I studied to real projects. Working on projects and solving practical problems improved my technical skills and gave me more confidence in applying Artificial Intelligence concepts.

Q5: How many projects did you complete during your DataMites training?

I completed seven projects in total during my training. I worked on six capstone projects and one client project. Working on these projects gave me practical experience and helped me understand different aspects of Artificial Intelligence through implementation.

Q6: How did the mock interviews at DataMites help you during the actual interview?

The mock interviews helped me become familiar with the interview process and the types of questions that could be asked. They also helped me identify the topics I needed to revise. When I attended the actual interview, I was able to approach the technical questions with a better understanding of how to respond.

Q7: What practical task were you given during the interview?

I was given a task to build an AI agent model. The task required me to demonstrate my understanding of AI agent development and apply my technical knowledge to create a practical solution. It was an important part of the interview process because it allowed me to demonstrate my implementation skills.

Q8: Had you already learned about AI agents before receiving this task?

Yes. I had learned about AI agents during my training at DataMites, which helped me when I received the task during the interview. The knowledge I gained during the course gave me a foundation for approaching the practical requirement.

Q9: How did your learning at DataMites help you handle the practical interview task?

The practical exposure I received during the course helped me understand how to approach an implementation-based task. Since I had already worked on projects and learned about Artificial Intelligence applications, I was able to use that knowledge while working on the AI agent task during the interview.

Q10: How did the DataMites placement team support you during your job search?

The placement team was very supportive throughout my job-search process. They guided me and helped forward my resume for relevant opportunities, which helped me get shortlisted. Their support was very useful during the placement process, and I am thankful for the guidance I received from the team.

Q11: What was the biggest difference you noticed between your academic learning and your DataMites training?

The biggest difference was the practical exposure. During my academic studies, I had learned many concepts theoretically, but I did not have the same level of experience in applying them to real-world projects. At DataMites, I had opportunities to work on projects, which helped me understand how Artificial Intelligence concepts are implemented in practical situations.

Q12: What advice would you like to give to freshers who want to build a career in Artificial Intelligence?

My main advice to freshers is to work on more projects. Project experience is very important because it helps you apply your knowledge and improve your technical skills. Instead of focusing only on theoretical learning, students should practise what they learn by building different projects and gaining practical experience.

Q13: What should students focus on while preparing for Artificial Intelligence interviews?

Students should focus on strengthening their technical fundamentals and working on multiple projects. They should also revise important Artificial Intelligence and Machine Learning topics and practise mock interviews. Being able to explain your projects and demonstrate how you applied your technical knowledge can also be useful during an interview.

Refer to these articles:

• What is a Confusion Matrix in Machine Learning?
• Supervised vs. Unsupervised Learning: What’s the Difference?
• Generative AI and Predictive AI: Key Differences Explained

Rakghitha’s Key Takeaways on Building a Career in Artificial Intelligence

Her journey highlights how practical learning, project experience, interview preparation, and placement guidance can help aspiring professionals build a career in Artificial Intelligence.

• Background: Rakghitha completed her B.Tech in Artificial Intelligence and Data Science.
• Career Goal: She wanted to strengthen her practical knowledge and prepare for an AI career.
• Training Choice: She joined DataMites’ AI Engineering course for hands-on learning.
• Practical Learning: The training helped her understand how Artificial Intelligence is applied in real-world situations.
• Project Experience: She completed six capstone projects and one client project during her training.
• Technical Growth: Working on projects helped her improve her technical and problem-solving skills.
• Interview Preparation: She prepared by revising technical topics and attending mock interviews.
• Mock Interview: The sessions helped her understand interview questions and improve her preparation.
• Technical Rounds: Her interview included two rounds covering Artificial Intelligence and Machine Learning.
• AI Agent Task: She was asked to build an AI agent model during the interview process.
• Placement Support: The DataMites placement team guided her and helped get her resume shortlisted.
• Advice for Aspiring Learners: Rakghitha recommends working on multiple practical projects, strengthening technical skills, and preparing consistently for interviews to build confidence for an Artificial Intelligence career.

Rakghitha’s journey shows how DataMites helped her turn academic knowledge into practical skills through projects, technical training, and interview preparation. Her experience highlights how hands-on learning through best IT courses can help aspiring Artificial Intelligence professionals build industry-ready skills.

Refer to these articles:

• How Did Jayanth Transition into an AI & ML Engineer Career?
• How Thennarasu Started His AI Developer Career as a Fresher
• How Pooja Transitioned into an AI Developer Career

DataMites Training Institute delivers industry-oriented training in Artificial Intelligence and Machine Learning across Bangalore, Hyderabad, Pune, Chennai, Ahmedabad, Coimbatore, Mumbai, and Delhi. Learners gain exposure to Python, core AI concepts, RAG, LLMs, and practical projects, supported by IABAC and NASSCOM FutureSkills certifications, expert mentorship, internship opportunities, and career-focused learning designed to build relevant technical skills.

Students and professionals across Tamil Nadu can explore DataMites’ artificial intelligence course in Coimbatore, designed with practical training, industry-oriented projects, expert mentorship, and career guidance. DataMites also offers Artificial Intelligence and Machine Learning training in Chennai, giving learners across Tamil Nadu access to hands-on learning and opportunities to develop job-relevant technical skills.

Learners and working professionals can explore artificial intelligence courses in Delhi to gain practical exposure to Python, Machine Learning, Deep Learning, and emerging Artificial Intelligence technologies. Through applied projects, industry-oriented curriculum, mentor interaction, internship opportunities, and career preparation, DataMites helps learners build the technical foundation required to pursue AI-focused roles.