AI Agents Bootcamp: Cost-Free LLMs to Production Systems

Overview

Master Agentic AI from FREE Local Models to Enterprise - LangChain, RAG, Langflow, Multi-Agent Systems What you'll learn:

Master the fundamentals and advanced concepts of building AI-driven agents with LangChain, Langflow & GPT-4.Design and build AI agents using LangChain, Langflow, and LangGraph to automate complex tasks and workflows.Design, develop, and deploy autonomous AI applications capable of replacing or enhancing SaaS solutions.Integrate custom tools and external APIs like search, calculator, and vector databases to create specialized autonomous agents.Develop retrieval-augmented generation (RAG) systems to enable agents to provide accurate responses using your custom knowledge bases.Create multi-agent collaborative systems using frameworks like AutoGen and crewAI for advanced workflow automation. Build Production-Ready AI Agents Using Cost-Free Local Models and Professional Enterprise FrameworksMaster the complete journey from FREE local LLM development to enterprise-grade AI agent deployment using the latest 2025 models including Llama 3.2, DeepSeek-R1, Qwen, and Gemini.

This comprehensive bootcamp eliminates cost anxiety while teaching cutting-edge Agentic AI development with any LLM provider through LangChain, RAG, Langflow, and multi-agent systems.What Makes This Course RevolutionaryLearn Agentic AI development with ZERO API costs using completely FREE local models including Ollama, Llama 3.2, DeepSeek-R1, Qwen, and other cutting-edge 2025 models. While other courses require expensive GPT-4 subscriptions that can cost hundreds per month, you'll master professional AI agent development with unlimited experimentation at no cost.Transform from cost-anxious beginner to confident AI engineer using the same enterprise patterns employed by Netflix, Google, and major tech companies for scaling AI applications.Master These Professional TechnologiesBuild intelligent AI agents using LangChain, Langflow, and local LLMsCreate powerful Retrieval-Augmented Generation systems with vector searchDevelop multi-agent orchestration using AutoGen and CrewAI frameworksImplement advanced Agentic AI patterns including Reflection, Planning, and ReAct loopsDeploy production-ready systems with enterprise-grade monitoring and cost optimizationMaster vector embeddings and semantic search with FAISS databasesComplete Project Portfolio You'll BuildCustomer Service Intelligence Agent:

Multi-modal agent with RAG-powered knowledge base and natural language processingCode Generation and Review Assistant:

Specialized programming agent with tool integration and automated code analysisResearch and Analysis Automation Bot:

Multi-agent system for comprehensive research workflows and data synthesisBusiness Intelligence and Analytics Agent:

Enterprise-ready agent with cost-optimized scaling and performance monitoringSemantic Search and Knowledge Engine:

Vector-powered search system with custom embeddings and intelligent retrievalWorkflow Automation and Orchestration System:

Visual pipeline builder using LangGraph and Langflow for complex business processesProfessional Learning PathStart with completely FREE local models for unlimited experimentation, then learn intelligent scaling to ultra-cheap cloud options when needed.

Master professional cost optimization strategies that reduce AI development costs by 95% compared to traditional approaches.Learn enterprise-grade deployment patterns, monitoring systems, and production optimization techniques used by professional AI engineering teams at major technology companies.Perfect For These ProfessionalsSoftware Developers and Engineers:

Add cutting-edge AI agent capabilities to your professional toolkit and advance your career in the fastest-growing area of technologyStudents and Career Changers:

Build job-winning AI portfolios without budget constraints while learning skills that command premium salariesEntrepreneurs and Startup Founders:

Create AI-powered products with intelligent cost scaling and enterprise-ready architectureCorporate Teams and Business Professionals:

Implement AI automation solutions with professional budget control and scalable deployment strategiesInstructor Expertise and Industry ExperienceLearn from a Senior Engineering Manager with over 20 years of experience building scalable AI systems at IBM Watson. Master real enterprise patterns and production deployment strategies, not just academic tutorials.Gain access to the same cost optimization techniques and architectural patterns used by professional AI teams at major technology companies for serving millions of users.Course Requirements and SetupNo prior AI or machine learning experience required - comprehensive guidance provided for beginners through advanced practitioners.

Basic programming knowledge helpful but complete setup instructions included for all experience levels.Compatible with Windows, Mac, and Linux operating systems with step-by-step environment configuration. Start with FREE local models and scale to cloud deployment as your skills develop.What You ReceiveComplete GitHub repository with all project implementations and reusable code templates.

Lifetime access to all course materials with regular updates as AI technology evolves. Instructor support through course Q&A section with professional guidance.Over 30 hours of hands-on content with 8 real-world projects designed for portfolio development and professional application.

Production-ready code examples and enterprise deployment strategies.Learning Outcomes and Career ImpactMaster the complete technology stack from cost-free local development to enterprise production deployment. Build unlimited AI agents without cost anxiety while developing genuine expertise through extensive hands-on practice.Learn professional development workflows, cost optimization strategies, and production deployment techniques that directly apply to high-paying AI engineering roles at technology companies.Start Your AI Engineering TransformationJoin thousands of students who have eliminated cost barriers and built successful AI engineering careers using these proven methods.

Master the complete journey from local experimentation to enterprise deployment.Transform from curious learner to confident AI engineer through hands-on building with professional-grade tools and frameworks. Build the portfolio and skills that technology companies actively seek in AI engineering candidates.Enroll now and start mastering cost-free AI agent development with enterprise-grade professional techniques.What Else is IncludedUdemy’s 30-Day Money Back GuaranteeFull lifetime access to all course materialsInstructor support via the Q&A sectionReal-world projects for your portfolio or startup ideaLet’s build the future of AI — one agent at a time.

Enroll now and start mastering AI Agents today.

Syllabus

• **Introduction to Agentic AI**
Overview of the course and its goals
Understanding AI-driven agents
Introduction to LangChain, Langflow, and GPT-4
• **Getting Started with Cost-Free Local Models**
Overview of free local models like Ollama, Llama 3.2, DeepSeek-R1, and Qwen
Setting up your development environment
Basic model training and deployment
• **Fundamentals of AI Agent Development**
Core concepts of AI-driven agents
Building simple agents with LangChain and Langflow
Hands-on project: Basic conversational agent
• **Advanced AI Agent Techniques**
LangGraph and workflow automation
Integrating external tools and APIs
Advanced agent patterns: Reflection, Planning, and ReAct loops
• **Retrieval-Augmented Generation (RAG) Systems**
Fundamentals of RAG systems
Implementing vector search and semantic retrieval
Hands-on project: RAG-powered knowledge base agent
• **Multi-Agent Systems and Collaboration**
Understanding multi-agent orchestration
Frameworks: AutoGen and CrewAI
Building collaborative multi-agent systems
• **Enterprise-Grade AI Agent Development**
From local models to enterprise deployment
Cost-optimization strategies for AI projects
Scaling AI applications in the cloud
• **Real-World Project Implementation**
Customer Service Intelligence Agent
Code Generation and Review Assistant
Research and Analysis Automation Bot
Business Intelligence and Analytics Agent
• **Production-Ready Systems and Deployment**
Architecting enterprise-ready AI applications
Monitoring systems and performance optimization
Hands-on project: Complete deployment walkthrough
• **Professional Learning Path and Career Development**
Effective project portfolio creation
Enterprise deployment patterns and strategies
Career impact and opportunities in AI engineering
• **Course Conclusion and Next Steps**
Recap and future learning resources
Continuous learning and updates
Final project review and Q&A
• **Instructor Support and Resources**
Access to complete GitHub repository
Direct instructor support through the course Q&A
Lifetime access to course materials with updates

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Taught by

Pragati Kunwer

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Subjects

Computer Science