AI-powered coding tools are making software development faster and more accessible, allowing professionals to build applications using natural language prompts and AI-generated code. However, creating software that works reliably, securely, and at scale requires more than simply prompting an AI tool. This webinar will explore the differences between vibe coding and AI engineering, highlighting the importance of software architecture, testing, security, and human oversight. Discover how to move beyond quick AI-generated prototypes and build robust, reliable software solutions that deliver lasting value.
Agenda for the session
- Vibe coding fundamentals
- AI engineering principles
- Building reliable software
- Testing, security, and scalability
About Speakers
Manikant Kandukuri
Consulting Lead Data Scientist
Manikant is a passionate data scientist with 7+ years of experience. His wide experience includes his stints as a data scientist with companies like Deloitte. Qolsys, and Tiger Global. In addition to this, he has also spent considerable time mentoring learners to help them understand the intricacies of data science. Currently, he works on LLMs-based Generative AI projects using langchain, llamaindex, and other frameworks.
Certificate Program in Artificial Intelligence and Agentic AI Engineering
Designed for software developers, data and AI professionals seeking hands-on technical expertise in building, deploying, and scaling AI and Agentic AI systems using MLOps, LLMOps, and cloud platforms. Earn a Certificate of Completion from Johns Hopkins University.
