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The Agentic AI Mastery Guide: Build, Train, and Deploy Autonomous AI Agents that Think, Learn, and Execute
Paperback
Series: Agentic AI Mastery, Book 2
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Publisher: Independently Published
Published: Oct 28 2025
Pages: 158
Weight: 0.84
Height: 0.34 Width: 8.50 Depth: 11.00
Language: English
Build autonomous AI systems that think, learn, and act-end to end.
The next wave of artificial intelligence is agentic AI: LLM-powered agents with
reasoning, memory, planning, and tool use. This hands-on guide shows developers,
data scientists, founders, and AI strategists how to design, implement, and scale
What you'll master:
- Agent architectures-planning loops, reflection, long-term memory, retrieval-augmented generation (RAG)
- LLM integration-OpenAI/Anthropic APIs, LangChain, function calling, tool orchestration
- Multi-agent systems-coordination, messaging, role design, teamwork patterns
- Deployment & MLOps-evaluations, guardrails, monitoring, scaling, cost control
- Prompt engineering & alignment-policies, feedback, human-in-the-loop safety
- Real use cases-business automation, research agents, data ops, customer experience
Why this guide: Move from theory to execution with actionable frameworks,
code-first workflows, and scalable system patterns that turn LLMs into reliable,
goal-driven agents.
Essential for anyone building generative AI applications, exploring
multi-agent frameworks, or deploying foundation-model solutions at scale.
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