Technology
Keerti Purswani
Machine learning, AI, software design, data structures, and full-stack development are taught through beginner-oriented tutorials, coding videos, and interview-preparation sessions. A distinctive format has the creator role-play both interviewer and interviewee, while playlists organize topics from DSA and C++ to MERN, DevOps, AWS, and generative AI. It suits learners seeking practical programming pathways; live-course offerings are worth comparing with independent learning options.
Hidden GemTechnology
Editorially reviewed:
Viewer engagementHealthy engagement
Based on 20 recent videos
Assessed 26 August 2026
Editorial focusAI & Machine Learning System Design & Architecture
Editorial note
WorthWatch verdict
Best for
Aspiring software engineers building AI, coding, and interview skills
Strength
Accessible pathways linking technical foundations with applied interview practice
Consider if
you want structured playlists spanning DSA, system design, and current AI topics
Recent videos
Latest from the source
Deep Dive
Keerti Purswani: Coding Pathways from DSA to Generative AI
Main focus
Keerti Purswani maps a broad programming curriculum across machine learning, AI, software design, data structures and full-stack development. Playlists connect C++ and DSA foundations with MERN, DevOps, AWS and generative AI, alongside mock interview practice.
Why it matters
Choosing a route into software roles, learners can move between coding foundations, system design and interview rehearsal without changing sources. The interviewer-and-selection role-play gives preparation advice a more applied frame, while topic playlists make targeted study easier.
Style
Mock interviews put the same creator in interviewer and selection roles, turning common preparation questions into a guided exchange. Tutorials and coding-led lessons favour accessible explanations, with playlist structure supporting both focused revision and longer learning tracks.
Consistency
Across nearly 500 videos, the subject range spans coding foundations, architecture, AI and career preparation, with playlists helping keep that breadth navigable. The mix supports both standalone revision and sequenced study.
- Machine learning and generative AI
- Data structures and algorithms
- High-level and low-level system design
- Advanced C++
- MERN, DevOps and AWS projects
- Technical interview preparation
Editorial note
Treat AI, cloud and development-tool guidance as time-sensitive, and compare live-course curricula, pricing and alternatives before enrolling.
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