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Agentic coding expert

LEARNING PLAN

Agentic coding expert

This learning plan is essential for software engineers and AI researchers looking to transition from traditional coding to building autonomous, self-correcting systems. It bridges the gap between theoretical AI foundations and the practical engineering required to deploy scalable agentic architectures in real-world environments.

ByCommunity User
5 h 16 m
13 coursesUpdated 9 days ago
Artificial Intelligence and Generative AI for BeginnersMake your own neural networkPython: The Language of Machine Intelligence13 sources

How This Learning Plan Was Made

This plan was crafted by BeFreed's proprietary AI to help you learn Agentic coding expert with ease. It is curated from in-depth research on the topic and structured around the most effective learning journeys proven by BeFreed users.

Each episode delivers bite-sized, high-impact lessons distilled from world-class sources — bestselling books, research papers, and expert insights. Together, they form a sophisticated yet accessible path to mastering Agentic coding expert.

What You'll Learn

  • Build a strong foundation in AI neural networks and Python programming for agent development.
  • Master reinforcement learning algorithms and multi-agent coordination frameworks.
  • Design autonomous decision-making systems using advanced architectural patterns.
  • Architect scalable, production-ready microservices for enterprise-level agent deployment.
  • Implement robust monitoring, safety protocols, and alignment strategies for autonomous systems.

Build a solid foundation in artificial intelligence concepts, neural networks, and Python programming to understand the core technologies behind autonomous agents.

Artificial Intelligence and Generative AI for Beginners cover
Artificial Intelligence and Generative AI for Beginners

Comprehensive guide to AI and generative AI for all skill levels.

9 m
Make your own neural network cover
Make your own neural network

Step-by-step guide to building neural networks for beginners.

8 m
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[url_feb993d2:c0002] github.com/h9-tec/AI-roadmap p1-1[url_32e27909:c0002] www.coursera.org/resources/ai-learning-roadmap p1-1[url_32e27909:c0003] www.coursera.org/resources/ai-learning-roadmap p1-1[url_308dc1c2:c0006] aiforsocialgood.ca/blog/beginners-guide-to-artificial-intelligence-syllabus-and-learning-path p1-1
18 sources
Python: The Language of Machine Intelligence

Moving beyond simple chat prompts requires a deeper grasp of code. Learn how Python’s syntax and APIs turn you from a consumer into a builder.

21 m

Master the core technologies of agentic systems, from reinforcement learning algorithms to multi-agent coordination and autonomous decision-making frameworks.

Keras Reinforcement Learning Projects cover
Keras Reinforcement Learning Projects

Build self-learning AI agents with 9 reinforcement learning projects using Keras.

9 m
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Keras Reinforcement Learning ProjectsRebooting AISuperintelligenceImpromptu
24 sources
Agentic AI: Why Chatbots Aren't Enough Anymore

Stop settling for simple chat responses. Learn how to build autonomous agent architectures using ReAct loops and multi-agent teams to get real work done.

27 m
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Keras Reinforcement Learning ProjectsArtificial Intelligence and Generative AI for BeginnersChatGPT For DummiesWhat Is ChatGPT Doing ... and Why Does It Work?
19 sources
LangGraph: Rethinking AI Agent Architecture

Discover how companies like LinkedIn and Uber are building sophisticated AI agents with LangGraph, a revolutionary framework that treats agents as persistent workflows rather than simple conversations.

27 m

Learn to architect production-ready agent systems using microservices, distributed architectures, and robust design patterns for enterprise-scale applications.

Designing Data-Intensive Applications cover
Designing Data-Intensive Applications

Comprehensive guide to building scalable data systems

9 m
Building Microservices cover
Building Microservices

Comprehensive guide to designing, implementing, and scaling microservices architectures, covering key concepts, technologies, and real-world applications for distributed systems.

9 m
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Notion Rebuilt Its AI Agent System 5 Times Before Launch — BigGo FinanceNotion’s Token Town: 5 Rebuilds, 100+ Tools, MCP vs CLIs and the Software Factory Future — Simon Last & Sarah Sachs of NotionNotion AI Agent Architecture: 5 Rebuilds, 100+ Tools, and What Finally Worked | OpenNash BlogHow we built security into Custom Agents
7 sources
Notion’s Autonomous Agent Refactor

Traditional software design fails autonomous agents. Learn how Notion rebuilt its architecture five times to create reliable, high-scale AI workflows.

20 m

Develop expertise in deploying, monitoring, and scaling autonomous agent systems in production environments while addressing safety and alignment concerns.

The Alignment Problem cover
The Alignment Problem

A riveting exploration of AI's ethical challenges and the quest to align machine learning with human values.

11 m
Human Compatible cover
Human Compatible

A leading AI researcher proposes a groundbreaking approach to ensure AI systems align with human values and preferences.

9 m
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[10ec355f-a441-4d7d-9f71-6a60db60e60f:c0000] 10ec355f-a441-4d7d-9f71-6a60db60e60f p1-1
1 source
The Solopreneur Agent Harness

Building complex software alone often leads to messy code and high costs. Learn to use a multi-agent architecture to orchestrate specialized LLMs.

14 m

Content you've saved to learn later

Micromastery cover
Micromastery

Master small skills quickly to boost confidence, broaden horizons, and find happiness through diverse learning and personal growth.

11 m

Discover more

AI agent for software development

AI agent for software development

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AI agent for software development

As software engineering shifts toward automation, mastering AI agents is becoming a critical skill for modern developers. This plan is ideal for programmers looking to transition from traditional development to building autonomous, intelligent systems using Python and neural networks.

5 h 14 m4 Sections
Ai learning

Ai learning

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Learning about Ai

Learning about Ai

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4 h 35 m4 Sections
Master AI Efficiency and Effectiveness

Master AI Efficiency and Effectiveness

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Master AI Efficiency and Effectiveness

This learning plan is essential for professionals and leaders aiming to stay competitive in an increasingly automated economy. It provides a comprehensive roadmap from foundational theory to building advanced autonomous systems, making it ideal for anyone looking to lead digital transformation.

5 h 50 m4 Sections
Learn to build agentic AI agents

Learn to build agentic AI agents

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Learn to build agentic AI agents

This plan is essential for developers and engineers looking to move beyond basic LLM prompts toward building autonomous systems. It bridges the gap between theoretical AI foundations and practical, production-ready agent deployment.

5 h 53 m4 Sections
Master AI Agents, Coding Tools & Trends

Master AI Agents, Coding Tools & Trends

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Master AI Agents, Coding Tools & Trends

This learning plan is essential for developers and tech enthusiasts looking to transition from traditional coding to AI-driven development. It provides a comprehensive roadmap for building autonomous systems while mastering the modern tools that are currently reshaping the software industry.

5 h 28 m4 Sections
Agentic AI & Thinking in Systems

Agentic AI & Thinking in Systems

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Agentic AI & Thinking in Systems

As AI transitions from passive tools to active participants, understanding the intersection of systems thinking and agentic autonomy is critical for modern leaders. This plan is designed for technologists and strategists who want to move beyond simple prompts to orchestrate complex, multi-agent ecosystems.

5 h 40 m4 Sections
Ai architecture modification

Ai architecture modification

LEARNING PLAN

Ai architecture modification

This learning plan is essential for developers and data scientists looking to move beyond pre-built models into custom AI engineering. It provides a comprehensive roadmap from neural network basics to the sophisticated transformer designs and autonomous agent architectures that drive today's innovation.

4 h 51 m4 Sections

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