Instructor-led AI and machine learning training covering theory, data preprocessing, algorithms, model building, analytics, real-time projects, case studies, and practical business and IT applications. Participants use Python, TensorFlow, and Scikit-learn and receive certification upon successful completion.
AI - ML Training Program
Nalanda IT presents a specialised AI & Machine Learning Training Program tailored for professionals aiming to stay ahead in the digital transformation era.
This program blends theory with practical exposure to help participants understand key AI concepts, machine learning algorithms, data preprocessing, model building, and real-world implementation strategies.
🔹 Key Highlights:
Instructor-led sessions by industry practitioners
Real-time projects and case studies
Focus on Python, TensorFlow, Scikit-learn, and Data Analytics
Practical guidance on applying AI in business and IT domains
Certification upon successful completion
Whether you’re an IT professional, data analyst, or tech enthusiast, this training equips you with the tools to drive intelligent innovation in your organisation.
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What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
