Krish Naik

Day 4-Live Session-Getting Started With Generative And Agentic AI In 2026

The live session titled “Day 4‑Live Session‑Getting Started With Generative And Agentic AI In 2026” opened with the presenter outlining a comprehensive roadmap for anyone looking to break into AI, from fresh graduates to senior executives. He emphasized that the curriculum will blend theory with hands‑on Python coding, covering large language models (LLMs), Retrieval‑Augmented Generation (RAG), and the latest LangChain v1 libraries, all framed within a 12‑month boot‑camp that launches in November 2025. A core insight was the division of AI learning into three parallel tracks: traditional data‑science and classical AI, generative AI, and the emerging “agentic” AI that powers autonomous agents. The speaker advocated a tiered approach—"traditional route" for newcomers, a "modern route" for mid‑career professionals, and an "advanced route" for senior leaders with extensive domain experience. He stressed that mastering data‑science fundamentals (Python, statistics, ML, CV, NLP) provides the foundation upon which generative‑AI skills are layered, followed by agentic‑AI capabilities, a progression that typically requires at least six months of focused study. Notable moments included the presenter’s practical advice: “If you are a fresher, follow the traditional route; if you have five‑to‑six years of coding experience, the modern route is best; and for non‑technical veterans with 15+ years, the advanced route makes sense.” He also highlighted concrete resources—free videos, Udemy updates, and specialized boot‑camps such as the RAG boot‑camp, AI for Leaders, and the Ultimate Data Science 2.0 program—each mapped to the three learning paths. The session’s interactive tone, with frequent requests for audience confirmation, underscored the emphasis on accessibility and real‑time engagement. The implications are clear: by demystifying the learning curve and offering curated pathways, the session equips a broad audience to meet the surging corporate demand for AI‑savvy talent. Companies can leverage this structured upskilling to fill gaps in generative‑AI product development and autonomous‑agent deployments, while individuals gain a marketable skill set that aligns with the projected AI‑driven job market of 2026 and beyond.