Hands-on session on how to evaluate, select, and apply LLMs for real-world use cases.
Understand the trade-offs between model size, latency, cost, and security.
Step-by-step framework to match business needs with the right model.
See when to fine-tune vs prompt-tune through real examples and risks.
Compare LLMs in real-world tasks: customer support, fine-tuning, and optimization.
Learn from Nahid Farhady Ghalaty’s experience across Big Tech organizations.
Principal Software Engineer at Microsoft — leading Copilot Privacy & Security Monitoring.
Ex-Google — built Conversational AI and privacy-preserving ML systems.
Ex-Capital One — led CyberML projects in anomaly detection and threat modeling.
Ph.D. from Virginia Tech — 10+ years in AI product development, privacy, and enterprise ML deployments.
Trusted by thousands of Tech and Engineering professionals
Real practice with FAANG engineers.
1:1 coaching and career support.
Feedback, resume building, and branding.
Get 50% of your tuition refunded if no job is secured.
Hear it from our Alumni.
Hands-on session on how to evaluate, select, and apply LLMs for real-world use cases.
Practical Skill Development: Step-by-step experience comparing, fine-tuning, and applying LLMs.
Insider Insights: Learn from Nahid’s applied ML experience at Microsoft, Google, and Capital One.
25,000+ Professionals Trained
₹23 LPA Average Hike
600+ MAANG+ Instructors
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Join 25,000+ tech professionals who’ve accelerated their careers with cutting-edge AI skills
25,000+ Professionals Trained
₹23 LPA Average Hike 60% Average Hike
600+ MAANG+ Instructors
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Time Zone: Asia/Kolkata
Hands-on AI/ML learning + interview prep to help you win
Time Zone: Asia/Kolkata
Hands-on AI/ML learning + interview prep to help you win
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