From the boardroom to the engineering floor, Krish AI Technologies partners with enterprises to design bespoke AI training programs and deliver production-grade L&D — led by Krish Naik, one of the most followed AI educators in the world.
30-minute call • No obligation • Custom proposal within 48 hours

13+ years in enterprise AI • 1.3M+ YouTube
Your teams don't need another vendor that recites the latest LLM paper in a three-day webinar and disappears. They need training that changes what their Monday morning looks like. Here's where generic AI training breaks.
The curriculum is built around generic AI concepts, not the real processes your teams run. Your people learn about AI in theory, but not how it applies to the work in front of them.
Engineers, analysts, and business leaders cannot learn from the same deck. One group finds it too basic, another too abstract. You pay for one programme and fail all three.
Slides don't create AI capability. If your teams haven't built something tangible and useful by the end of the programme, they were briefed, not trained.
We don't arrive with a deck and a timer. We start with your business outcome — shipping an internal agent, modernizing your data stack, getting 200 managers fluent in GenAI — and work backwards into a curriculum that gets your people there.
Capability audit and gap analysis before any content is written
Curriculum co-designed with your L&D and functional leaders
Basic-to-advanced tracks — we meet every cohort where they are
Hands-on labs tied to your data and your use cases
On-site, live virtual, or hybrid — across time zones
If your L&D function is already set up and you just need the right AI content to plug in, we license courses from our catalogue at corporate rates. We take the time to understand what your teams actually need and recommend only the courses that fit — so the investment stays lean and the learning stays relevant.
Bulk licences and team seats at negotiated corporate rates
Curated learning paths from our flagship program library
Live cohorts + on-demand content + managed certifications
Manager dashboards for progress, completion, and assessment
LMS integration — SCORM, xAPI, SSO
Dedicated success manager and quarterly business reviews
Working session with your leadership. What's the outcome? Which teams? What's been tried?
Skill audits, stakeholder interviews, capability mapping. We baseline where teams are.
Co-created curriculum blueprint. Tracks by role, projects mapped to your use cases.
Instructor-led sessions, labs, capstones, and live support in your chosen format.
Pre/post assessments, project outcomes, adoption indicators, quarterly review.
Every topic below can be scoped from introductory to advanced, and combined into role-specific tracks. Hover any tile to expand.
Multi-agent systems, orchestration (AutoGen, LangGraph, CrewAI), tool use, memory, evaluation, and production deployment.
Foundation models, fine-tuning, RAG, prompt engineering, guardrails, observability, and production LLMOps on AWS/Azure/GCP.
End-to-end ML — EDA, feature engineering, classical modelling, deep learning, NLP, and computer vision. Rigorous and project-driven.
Modern analytics with SQL, Python, Power BI, and AI-assisted analysis. Equip business teams to interrogate their own data.
Workflow automation with n8n, Make, Zapier, and Lovable. No-code AI agents for ops, marketing, sales, HR, and finance.
Claude Code, Cursor, modern vibe-coding. Train engineering teams to ship 3–5× faster with AI-native development workflows.
AI fluency is not a single curriculum — it's a different curriculum at every level of the org. We design programs that meet each cohort where they sit and ladder up to a coherent enterprise capability.
Strategic AI fluency for decision-makers. Investment frameworks, build-vs-buy, governance, risk, and competitive positioning.
Translating AI into delivery. Scoping AI projects, writing AI PRDs, managing model and data risks, and shipping features end-to-end.
The builder track. Hands-on programs for software engineers, data scientists, and ML engineers — working with real data.
AI fluency for sales, marketing, ops, and finance. Applying GenAI, automation, and no-code tools to real workflows.

Krish Naik is the founder and CEO of Krish AI Technologies and a pioneer of India's AI education movement. Since 2017, Krish has built a global community of 1M+ learners across 194 countries, placed 30,000+ into AI roles worldwide, and earned GitHub Star status alongside recognition from NVIDIA and AWS — all grounded in 13+ years of enterprise experience at Panasonic, EY, Honeywell, and HCLTech.
" When Krish speaks on Generative AI, Agentic AI, or LLMOps, he's not interpreting someone else's work — he's teaching what his own teams have shipped.
Your teams learn from industry veterans who architect, deploy, and scale enterprise AI systems every day — not career trainers reading slides.

With 14+ years in data science, I’ve worked with companies like Panasonic, EY, Honeywell, and HCL. As a mentor for 10+ years and founder of Krish AI Technologies, I’m focused on driving AI innovation and guiding the next generation of tech talent.

With 8+ years of experience at Goldman Sachs, Mindtickle, and OYO, I specialize in data science and software development. With over 5 years of teaching experience, I’m passionate about mentoring and empowering the next generation of tech professionals.

With 7 years of work experience, I specialise in AI and computer vision. I also have over 3 years of teaching experience, where I focus on helping others understand and excel in these cutting-edge fields.

With 6+ years of industry experience, I’m currently a Generative AI Engineer at PwC. Along with over 3 years of teaching and product development experience, I’m passionate about creating impactful AI solutions and sharing my knowledge with others.

With over 7 years of experience as a data scientist at companies like Cognizant, Visionfy.ai, and Harptec Softwares, I specialize in data-driven solutions. I also have 3+ years of teaching experience, where I focus on guiding students to excel in the evolving tech landscape.
Thirty minutes with our team is enough to map the problem, size the program, and know whether we're the right partner. Custom proposal in your inbox within 48 hours.
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