The Future Of Software engineering and AI: What YOU can do about it
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Lessons
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AI Career Roles and PreparationAI BootcampBreak down AI roles (Engineer, Model Engineer, Researcher, PM, Architect), prepare for FAANG/LLM interviews, and update your knowledge on being up to date with state-of-the-art techniques.
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Evaluating Model TrustworthinessAI BootcampEvaluate model trustworthiness for sensitive applications (legal, compliance, finance).
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RAG in Enterprise SettingsAI BootcampExplore RAG for enterprise use (citation engines), compare hallucination reduction strategies (constrained decoding, retrieval, DPO).
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LLMOps & Scalable ServingAI BootcampPlan a scalable serving stack (LLM + vector DB + API + orchestrator), learn LLMOps roles and workflows.
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LLM Production ChainAI BootcampMap the LLM production chain (data, serving, latency, monitoring), explore multi-tenant APIs, vector databases, caching.
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DeepSeek-V3 ArchitectureAI BootcampExplore DeepSeek-V3’s MLA, MoE, MTP, FP8 training, and understand transformer optimizations.
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Positional Encoding in TransformersAI BootcampUnderstand positional encoding (sinusoidal, RoPE, learned), compare types, and study skip connections/layer norms.
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Text-to-Voice PipelinesAI BootcampInvestigate pipelines from text prompts through intermediate representations to audio. Compare zero-shot vs fine-tuned models in speech generation.
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Text-to-SQL SystemsAI BootcampImplement text-to-SQL with structured prompts, train/evaluate SQL generation accuracy using execution-based metrics.
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Agent Architectures and ToolkitsAI BootcampCompare single-agent vs multi-agent architectures, explore AutoGen, LangGraph, CrewAI use cases.
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Agent Design PatternsAI Bootcamp- Understand agent design patterns: Tool use, Planning, Reflection, Collaboration - Learn evaluation challenges in agent systems: output variability, partial correctness - Study architecture patterns: single-agent vs constellation/multi-agent - Explore memory models, tool integration, and production constraints - Compare agent toolkits: AutoGen, LangGraph, CrewAI, and practical use cases
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Designing AI Code AgentsAI BootcampDesign a multi-agent AI IDE stack with chunking, AST parsing, and RAG+LLM collaboration.