Credits Earned
+ 23
48%
NeeevAI expands to
Universities
NeeevAI expands to universities through AICTE-certified, NCrFaligned AI programs
- AICTE-Certified.
- NCrF-Aligned.
- UNESCO Aligned.
Industry-Aligned AI Programs.
Built by PhD faculty, global AI practitioners, and industry experts.
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NCrF-compliant courses with seamless credit transfer through Academic Bank of Credits
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Designed by PhD faculty and global AI practitioners with real-world industry expertise
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Standardized credit system: 1 credit = 30 hours for flexible learning pathways
Why Choose NeeevAI for Universities?
Built by PhD faculty, global AI practitioners, and industry experts, these programs follow India's National Credit Framework (NCrF) where 1 credit equals 30 hours of learning, enabling seamless mobility through the Academic Bank of Credits (ABC).
AICTE-Certified
Nationally recognized programs aligned with India's education standards
NCrF-Aligned
Credits transferable through Academic Bank of Credits for seamless mobility
Expert-Built
Designed by PhD faculty, global practitioners, and industry leaders
UNESCO Aligned
Aligned with UNESCO's Ethical & Responsible AI Framework.
AI Skills Mapped to Industry Verticals
NeeevAI's programs are industry-mapped and designed to meet hiring needs across multiple sectors, ensuring graduates are ready for real world challenges.
Healthcare
Diagnostics and automation through Deep Learning, GenAI, and Autonomous Systems
Finance
Fraud detection and prediction using ML Foundations and AI Engineering
Cybersecurity
Threat intelligence powered by Agentic AI and Automation Engineering
Marketing & Sales
Personalization and forecasting through GenAI Applications and Data Analytics
Human Resources
Talent intelligence and automation using Python, ML, and RPA
Supply Chain
Optimization and prediction via Applied Analytics and ML Engineering
Long-Term Programs: 6-12 Months
Comprehensive programs mapped to 12-24 Credits under NCVET/NCrF, designed to transform learners into industry-ready AI professionals. This is applicable to Graduation and / or Post Graduation Students (eg. PGDM)
AI Engineering & Applied Machine Learning Program
Modules: ML
fundamentals, feature engineering, deep
learning, MLOps, CI/CD, monitoring
Career Outcomes:
ML Engineer
Data Scientist Associate
Generative AI & Autonomous Systems Program
Modules: LLM
fundamentals, finetuning, embeddings,
RAG, agentic AI, LangChain, CrewAI,
LlamaIndex, OpenAI
Career Outcomes:
LLM Engineer
AI Product Builder
Intelligent Automation & AI Systems Engineering
Modules: Workflow
orchestration, CV+NLP multimodal
systems, RPA+AI integration, Edge AI,
governance
Career Outcomes:
Intelligent Automation Engineer
Systems AI Architect
We provide the courses that best suits the industry requirements.
Course Title
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Applied Data Analytics
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Python Foundations for AI/ML
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Practical Machine Learning Foundations
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Applied Deep Learning
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Generative AI & LLM Applications
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Agentic AI for Autonomous Systems
Topics Included
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Data cleaning, visualization, dashboards, KPI design
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Syntax, data structures, NumPy, Pandas
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Supervised ML, unsupervised ML, model evaluation
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CNNs, RNNs, Transformers
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Prompting, RAG, fine-tuning
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Multi-agent orchestration, workflows
Applicable Verticals
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All verticals
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All verticals
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All verticals
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Healthcare, Security, Retail
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All verticals
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Cybersecurity, Automation
Skills Gained
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Data-driven decision making
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Coding readiness for ML/AI
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Build ML models
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Build neural networks
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Build GenAI prototypes
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Build autonomous agents
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