--- title: 'Simplilearn Reviews | From Career Break to AI & ML Engineer: Aniket''s Transformational Journey' source: 'https://youtube.com/watch?v=QrzfaHm52GM' video_id: 'QrzfaHm52GM' date: 2026-10-24 duration_sec: 208 channel: 'Simplilearn' --- # Simplilearn Reviews | From Career Break to AI & ML Engineer: Aniket's Transformational Journey > Source: [Simplilearn Reviews | From Career Break to AI & ML Engineer: Aniket's Transformational Journey](https://youtube.com/watch?v=QrzfaHm52GM) ## Summary Aniket Patil shares his journey of transitioning from a Java developer and blockchain professional to an AI and ML engineer after a career gap, crediting Simplilearn's structured curriculum, practical projects, and career support for his successful restart. ### Key Points - **Career Gap Challenge** [00:04] — Aniket faced difficulty restarting his career after a gap, but with Simplilearn's learning, practical exposure, and career assistance, he successfully became an AI and ML engineer. - **Background and Motivation** [00:17] — Aniket worked as a Java developer, then transitioned to blockchain during COVID, and decided to move into AI/ML for strong future opportunities, recognizing the need for proper technical and practical exposure. - **Why Simplilearn** [00:58] — He chose Simplilearn for its structured curriculum, mentor-led sessions, and hands-on project approach, which aligned with real industry needs. - **Learning Experience** [01:12] — The program focused on practical implementation and real industry use cases, with a well-structured curriculum that helped build understanding step by step, especially for beginners. - **Engaging Content and Projects** [01:40] — Real-world examples, industry scenarios, and hands-on assignments made learning engaging and improved problem-solving skills, strengthening Python, ML, deep learning, SQL, data science, and generative AI. - **Career Services Support** [02:09] — Resume improvement, profile visibility to recruiters, and mock interviews helped Aniket approach technical discussions confidently, especially in AI/ML interviews. - **Personal Commitment** [02:34] — Aniket stayed committed by practicing Python, ML, deep learning, and data science, and participating in mock interviews and workshops consistently. - **Outcome and Advice** [03:01] — The biggest impact was successfully restarting his career as an AI and ML engineer. He advises others to stay consistent, keep learning, and leverage guidance and practical exposure. ### Conclusion Aniket's story demonstrates that a structured learning path, practical projects, and dedicated career support can enable a successful career transition into AI and ML, even after a career gap. ## Transcript after a career gap wasn't easy. But with Simplilearn, I got the right learning, practical exposure, and [music] required career assist support. I was able to successfully restart my career as an AI and ML engineer. Hi, my name is Aniket Patil, and this is my journey. Currently, I am [music] working as an AI and ML engineer. Before moving into this domain, I was working as a Java developer and later transition into blockchain technology during the COVID period. Then, I decided to seriously >> and move into a domain with strong future opportunities like AI and machine learning. But I knew that transitioning into AI or ML required proper technical >> and practical exposure. I was looking for a structured learning path that could help me build real industry relevant skills, and [music] that's exactly why I chose this program. While researching different learning platforms, Simplilearn stood out because of its structured curriculum, mentor-led sessions, [music] and hands-on project approach. What really impressed me was that the learning was very practical [music] and aligned with real industry live sessions, [music] recorded content, and project-based My learning experience with Simplilearn was extremely valuable because the program focused heavily on practical implementation [music] and real industry use cases rather than just theoretical concepts. The curriculum was very well structured, which [music] made it easier to build my understandings step by step, especially when you are a newbie or a beginner. [music] with real-world examples, industry scenarios, and practical applications, which made the learning much more engaging [music] and easier to understand. The projects and the hands-on assignments also helped [music] me apply concepts practically and improve my problem-solving approach. strengthen my skills in Python, [music] machine learning, deep learning, SQL, data science, and generative AI concepts. Overall, the course gave me both the technical [music] foundation and the practical exposure I needed to confidently transition into the AI or ML field. The career services support played a huge role in my journey. The resume improve my profile professionally and visibility [music] to recruiters. Mock interviews helped me understand how to approach technical discussions confidently, [music] especially in AI and machine learning interviews. At the same time, I also made sure I stayed [music] fully committed from my side. in Python, [music] machine learning, deep learning, and data science while continuously participating in mock interviews and workshops. [music] I stayed consistent with preparation and made sure I was way. The biggest impact for me was successfully restarting my career and securing a role as an AI [music] and ML engineer. If you are someone trying to transition into a new domain or restart [music] suggestion would be to stay consistent and keep learning. The right guidance, practical exposure, and continuous effort can genuinely make a continuous effort can genuinely make a huge difference.