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Practice,Perfect, Prosper
Skills for Future
  • Generative AI (e.g., fine-tuning LLMs, prompt engineering)
  • MLOps (ML model deployment, monitoring)
  • Vector databases (Pinecone, Weaviate, FAISS)
  • LLM Frameworks: LangChain, LlamaIndex, OpenAI APIs
  • Foundation Models: Understanding how to adapt or build on models like GPT-4, Claude, Gemini, etc.
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The average life span of tech skills is between 2 to 5 Years.
AI Data Sources
AI powered synthetic data sources
Cloud labs playgrounds for everyone
  • Generative AI (e.g., fine-tuning LLMs, prompt engineering)
  • Readymade data set in csv, excel & parquet formats
  • Database & API Sandbox are coming soon
  • Solutions & 1:1 Mentoring are coming soon
Enabling learner with ready-to-use tech infra & lab assignments.
Real-World Scenarios
Power up your skills with Real-World Business scenarios
Job Market Projection by 2030
  • 85M jobs may go unfilled due to skill gaps.
  • $8.5T in lost annual revenue.
  • 95% of tech leaders struggle to find talent.
Getting ready for job from day one
Bridging the gap between learning and real-world application.
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