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 Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
