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 Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
