Online self-learning courses offer autonomy, allowing individuals to learn at their own pace. They provide structured training materials with review exercises to enhance understanding. Utilizing multimedia resources like videos and presentations, learners actively engage with the content. while flexibility enables customization of study schedules. This fosters an environment conducive to effective learning and skill development, accommodating personal commitments.
GoLogica AI Agent Architecture Online Training explores how smart AI agents read requests, understand requests, talk to tools, and finish tasks. The course explains the basics of agent-based systems and shows how AI agents can work together to create real-world solutions and smart automation. Learners will learn the roles of language models (LLMs), instructions, context, and decision?making when creating AI agents. Professionals will learn task planning, reasoning methods, and task decomposition, learning how AI agents split a task into easier steps.
An important aspect is information management. The fundamental concepts of conversation history, short-term memory, and long-term memory are introduced along with retrieval-augmented generation (RAG). Learners gain a grasp of how agents utilize relevant information from knowledge sources and how they utilize contextual information to generate appropriate responses.
Also covered are tool calling, API integration, and external service integration. Through these abilities, AI agents can access data, communicate with applications, and execute specific tasks as permitted by the AI. Learners study how tools, privileges, and input validation can contribute to reliable agent behaviour.
For more advanced applications, the training covers multi-agent architectures, task delegation, agent communication, and orchestration. Students gain an understanding of how several agents can work on various tasks and how to decide between single-agent and multi-agent methods for various projects.
Testing and optimization are also crucial in the development of AI agents. This AI Agent Architecture Training includes evaluation techniques, debugging techniques, handling of errors, and monitoring of performance. Students become familiar with identifying problems related to lack of context, wrong tools, or integration issues. Concepts of security like data protection, access control, human oversight, output validation, etc. are also introduced.
AI Agent Architecture Certification Training is designed for software developers, AI engineers, solution architects, cloud professionals, automation practitioners, and technical consultants who are keen on building intelligent applications.
Learn about AI agent design, planning, memory, integrations, and multi-agent systems. Build a solid technical base and delve into the possibilities of using AI agents in today's software applications and business processes. Get to know the current syllabus, the upcoming batches, the training format, and enrolment details from GoLogica.
Salary Trends:
Professionals specializing in AI Agent Architecture can earn approximately 19 to 43 LPA in India and $130,000 to $240,000 annually in the US, depending on experience, technical expertise, and employer demand, according to Glassdoor and industry salary benchmarks.
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AI Agent Architecture Curriculum
Introduction to AI Agents and Agentic AI
AI Agents vs. LLM Applications vs. Traditional Workflows
Core Components of AI Agent Architecture
Agent Reasoning, Planning and Decision-Making
Foundation Models and LLM Integration
Types of AI Agents and Architecture Patterns
Single-Agent and Multi-Agent Systems
Large Language Model Architecture
Transformer Architecture and Attention Mechanisms
OpenAI, Claude, Gemini and Open-Source Models
System Prompts and Prompt Engineering
Few-Shot and Zero-Shot Prompting
Structured Outputs and JSON Responses
Context Windows and Token Management
Model Selection and Fine-Tuning Fundamentals
ReAct (Reasoning and Acting) Architecture
Task Planning and Decomposition
Reflection and Self-Correction
Short-Term and Long-Term Memory
Conversational Memory Management
Context Engineering and State Management
Persistent Memory and Session Handling
Tool-Enabled AI Agent Architecture
Function Calling and Tool Execution
REST API and Database Integration
External Service Integration
Dynamic Tool Selection and Routing
Structured Data Extraction
Error Handling and Retry Mechanisms
Tool Permissions and Execution Controls
RAG Architecture and Components
Document Processing and Data Ingestion
Text Chunking and Embeddings
Vector Databases and Similarity Search
Semantic and Hybrid Search
Metadata Filtering and Reranking
Advanced and Agentic RAG
Multi-Agent RAG Implementation
LangChain Architecture and Components
LangGraph Nodes, Edges and State Management
CrewAI Agent Architecture
Sequential and Parallel Workflows
Conditional Routing and Task Execution
Supervisor and Worker Agent Patterns
Checkpointing and Workflow Persistence
Human-in-the-Loop Workflows
Introduction to Model Context Protocol
MCP Architecture and Components
MCP Clients, Servers, Tools and Resources
Building Custom MCP Servers
Connecting AI Agents with External Tools
MCP Authentication and Authorization
Tool Discovery and Execution
Enterprise MCP Integration
Multi-Agent Architecture and Design
Agent Roles and Responsibilities
Agent-to-Agent Communication
A2A Protocol and Agent Discovery
Task Delegation and Coordination
Hierarchical and Collaborative Agents
Multi-Agent Orchestration Patterns
MCP vs. A2A Architecture
AI Agent Security Architecture
Prompt Injection and Jailbreak Prevention
Data Privacy and Access Control
Responsible AI and Guardrails
Agent Testing and Evaluation
LLM-as-a-Judge and Benchmarking
Tracing, Logging and Monitoring
Hallucination Detection and Failure Recovery
Performance, Cost and Latency Optimization
The GoLogica certification is widely acknowledged, enhancing the credibility of your resume and opening doors to high-level positions in leading multinational corporations globally.
At the end of this course, you will receive a course completion certificate which certifies that you have successfully completed GoLogica training in AI Agent Architecture technology.
You will get certified in AI Agent Architecture by clearing the online examination with a minimum score of 70%.
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AI Agent Architecture Objectives
It looks at the structure of agent systems. It talks about how different parts work. These parts include things like language models, instructions, memory, tools, and how decisions are made.
Foundational programming knowledge or knowledge of software applications or APIs can help you better understand the technical material. The background required is dependent on the course syllabus and extent of the implementation of the content.
In most cases, an AI agent is composed of a model along with instructions, context, decision logic, and tools/external resources. Other components can handle memory management, process execution, security, and assessment.
A large language model, or LLM, inside an AI agent reads user requests and looks at surrounding details to suggest actions. Writes responses that steer other parts of the system to finish the job.
Yes, an AI agent can perform a series of steps that produce a result when the AI agent has the tools, the permissions, and a clear plan for execution.
The AI agent reads the instruction, looks at the context, checks what the LLM can do, and then chooses the action.
Retrieval?Augmented Generation lets an application query an external knowledge source. Feed that information to the model. RAG helps the AI agent generate answers that are based on documents or references that are available.
Tools allow AI agents to do more than just create text. They help AI agents search through data, find information, connect using links, and start approved tasks in other programs.
APIs are standardized ways to share data between an agent app and other software programs. They can support application operations, such as data retrieval, service requests, and supported operations, in connected applications.
A multi-agent system is a setup where multiple AI agents come together. Each agent has a role, like doing research, analysing data, or checking results. They work together to achieve a goal by cooperating and sharing efforts.
Agent orchestration is about organizing how agents, tools, and different parts of a workflow interact. It assigns tasks to the agent, shares the information they need and decides the order and timing of each step. This keeps everything running smoothly and efficiently.
A single agent works well for simple tasks with clear dependencies. Multiple agents suit projects with separate responsibilities, but they require additional coordination, communication, and ongoing maintenance.
These factors are authentication, data privacy, permissions on tools, input validation, output validation, and sensitive action controls. Human approval may be required before performing consequential operations as well.
Task success, response relevance, accuracy, reliability, how fast it operates and how much it costs can all be part of the evaluation.
The developers may view the execution logs, the tool input and output, intermediate decisions, retrieved information, and workflow traces. All these details can be used to narrow down instruction failures, context failures, integration failures, and/or action selection failures.
This knowledge can help people work in AI application development, software engineering, intelligent automation, AI solutions architecture, and enterprise technology consulting.
Why GoLogica?
10+
Years of Experience
250+
Corporate Clients
750+
Courses
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Careers Transformed
Yes, it is Possible. GoLogica provides a fast-track Classes so you can complete a training within a few days or a week and get a certification.
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Discounts may vary; inquire directly for specific offers.
Visit GoLogica website, locate the 'Certificates' section, follow the instructions to verify your course completion by completing the exam and Get more than 70% marks. And download your certificate.
I'll guide you through the certification process step-by-step, ensuring you're well-prepared and confident in your subject matter by clearing an exam.
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Our mock interviews process involves practice sessions, feedback, and role-playing to enhance candidates' communication skills and confidence in a concise, single-line summary:
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GoLogica certification holds value for those seeking to learn and validate their skills in Logic Apps all over the world.
Yes, GoLogica offers opportunities to work on live projects, enhancing your practical skills and experience.
Our trainers are highly experienced in respective Field and implementing real-time solutions on different Scenarios and Expert in their professionals.
We record each LIVE class session you undergo through this training and recordings of each session class will be updated in your Cloud.
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GoLogica have a 10+ year’s good track record in the training market. However, it was founded in 2013.
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Self-paced training allows learners to study at their own speed, while Live Online training offers real-time, interactive sessions with an instructor.
Self-paced learning offers flexibility, personalized progress, and the ability to review materials at your own convenience.
Live online training offers real-time interaction, immediate feedback, and networking opportunities, which self-paced learning lacks.
Yes, GoLogica allows you to transition from self-paced to instructor-led training as per your preference T&C apply.
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Timetable flexibility depends on the institution and availability; inquire for options.
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Practice consistently, apply learned skills in real-life scenarios, and seek feedback for improvement.
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Self-paced videos can be classified into beginner, intermediate, advanced, and expert levels.
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Our trainers are highly experienced in on specific subject matter to teach and uses by real-time solutions on different Scenarios and Expert in their professionals.
You can access the recording of the missed class through our LMS. We record each training session and upload it after the session to our LMS which can be accessible to the students.
You can clarify your queries by dialling +91 - 82 9696 0414, +1 (646) 586 - 2969 Or you can send a mail to info@gologica.com. We are ready to clear your enquiries at any time
AI Agent Architecture rated
(4.7 / 5) based on 3 reviews.
Meghana V
This training helped me understand the structure of AI agents. I gained a clearer picture of how different components work together to complete tasks.
Naveen R
The architecture concepts were explained with clear examples. I especially liked learning about agent workflows, tools, memory, and decision-making.
Divya K.
The practical exercises helped me understand agent workflows better. Designing a simple agent architecture gave me confidence to explore more advanced concepts.
