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Complete AI Architecture Bootcamp: From RAG to Agents

Build Enterprise AI Solutions with LLMs, Agents, MCP, Automation, Data Platforms, and Security

  1. Topics
  2. IT & Software
  3. Large Language Models (LLMs)

Complete AI Architecture Bootcamp: From RAG to Agents

InstructorData Science Academy
Duration8h 37m
Students1,491
Rating4.7 (25)

More Related Topics

  • Retrieval-Augmented Generation324
  • AI Agent Development577
  • Model Context Protocol (MCP)172
  • AI System Security105
  • Large Language Models115
  • Natural Language Processing350
  • LangChain for LLMs176
  • Ollama for Local AI45
  • Generative AI Applications424
  • Prompt Engineering1103
Sponsored
Price
$0.00
$14.99
Coupon
100/100 uses left
Last checked 7h ago
Access
Premium only
Upgrade to unlock this course deal

Coupon history

Comidoc has tracked 12 coupons for this course since 2026, last checked 7h ago. On average, a new coupon appears roughly every 9 days.

Coupon codeDiscountAddedStatusLifetime
SEPTFREE02100% offSep 2, 202603:34 AM UTCExpired~31 daysRan full term
SEPTFREE01100% offSep 2, 202603:30 AM UTCExpired30d 12h
SEPTFREE03100% offSep 2, 202603:14 AM UTCExpired~31 daysRan full term
AUGFREE01100% offAug 1, 202603:58 PM UTCExpired30d 21h
AUGFREE02100% offAug 1, 202603:58 PM UTCExpired30d 21h
AUGFREE03100% offAug 1, 202603:58 PM UTCExpired30d 21h
Comidoc Analysis

Enterprise AI Architecture Patterns and Systems Design

Strengths

Broad Architectural Scope

The curriculum spans diverse technical domains including LLM architecture, RAG systems, MCP integration, and enterprise data platforms.

Design-Oriented Labs

Instruction includes several article-based labs focused on designing architectures, such as AI solution lifecycles and multi-agent workflows.

More Large Language Models (LLMs) courses

Deep Learning A-Z [2026]: DL, AI in Python & AWS + LLM PrizeKirill Eremenko4.6 (49.9K)23h 7m
Intro to Large Language Models (LLMs)365 Careers4.5 (9,434)2h 37m
Prompt Engineering Professional CertificationMTF Institute of Management, Technology and Finance
4.3 (811)
LLMs Mastery: Complete Guide to Transformers & Generative AIThe Fuzzy Scientist | LLM Expert4.5 (9,199)7h 30m
Formação Completa Inteligência Artificial - 2025Fernando Amaral4.7 (5,460)32h 33m
Prompt Engineering for Everyone BootcampNavid Shirzadi, PhD, P.Eng.4.5 (15.8K)3h 52m
Generative AI Masters 2026 - From Python to Gen AIDr. Satyajit Pattnaik4.5 (1,716)50h 1m
Basic to Advanced: Retreival-Augmented Generation (RAG)Yash Thakker4.4 (6,658)2h 39m

Limitations

Emphasis on Theory over Code

The learning path relies heavily on architectural design and diagramming rather than active software development or coding exercises.

Best suited to

  • Solution Architects
  • Technical Leaders
  • Digital Transformation Professionals

Less suited to

  • Software Engineers seeking coding-heavy implementation
  • Learners requiring interactive programming environments

Comidoc Score

6.4/10

Worth considering
Beginner-friendly

Comidoc verdict

The learning path moves from AI architecture fundamentals through specialized domains like Retrieval-Augmented Generation (RAG) and Multi-Agent Systems, concluding with security, governance, and cloud infrastructure.

The strength of the instruction lies in its breadth, covering essential enterprise components such as the Model Contexts Protocol (MCP) and data-ready architectures. Instruction includes several design-focused labs, but these are primarily article-based exercises centered on creating workflows and diagrams rather than writing code.

This makes the course highly suitable for architects, consultants, and technical leaders who need to design and govern AI systems within an enterprise context.

Score breakdown

Curriculum depth
8.0

The curriculum covers multiple distinct technical areas including LLMs, RAG, MCP, and security frameworks.

Applied learning
6.5

Learning is driven by design-based labs and architectural diagrams rather than software development or coding projects.

Clarity & experience
5.8

A single learner signal indicates that the explanations effectively communicate core principles and approaches.

Currency & reliability
5.0

The available evidence does not establish enough about current reliability to move this dimension away from neutral.

Audience fit
5.0

The curriculum aligns with the target audience of architects and technical leaders through its focus on infrastructure and data systems.