Agentic AI for Beginners

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Free Download Agentic AI for Beginners
Published 11/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 5h 47m | Size: 2.4 GB
Learn Agentic AI by Building Real AI Agents with AWS Bedrock - Autonomy, Actions, LLM, Knowledge Base, Hands-On Training

What you'll learn
Understand the fundamentals of Agentic AI, how autonomous AI agents work, and their real-world applications
Build your first AI agent from scratch using widely adopted agent frameworks
Create and integrate knowledge bases to make agents more intelligent, contextual, and efficient
Configure agent tools, actions, and workflows to enable autonomous task execution
Develop advanced agent capabilities using AWS Bedrock Action Groups and real cloud implementations
Test, refine, and optimize agent behavior through hands-on exercises, assignments, and practical demos
Requirements
No prior experience with AI, Generative AI, or Agentic AI - the course starts from the basics
Basic Python skills (beginner level)
An AWS account (free-tier eligible) for hands-on practice with Bedrock and other services
Description
AI Agents are the future. Companies are moving fast toward autonomous, goal-driven Agentic AI systems. This course teaches you exactly how to build those real AI agents using AWS Bedrock, LLMs, Actions, and Knowledge Bases, by solving real world business use case in support, operations, IT. If you want hands-on, practical Agentic AI skills (not theory), this is the course designed for you.1 - Why Choose this course:You won't just learn prompts - you'll learn real Agentic AI:How LLMs become agentsHow agents use tools and actionsHow to integrate knowledge sourcesHow to deploy everything on AWS BedrockClear teaching. Practical demos. Real agent builds. This is not a "watch and learn" course - it's "build as you learn".2 - Why Agentic AI Matters:LLMs can answer questions - but agents can take actions, make decisions, use tools, and work autonomously.This is the next major shift in AI, and it's already transforming development, QA, automation, and cloud engineering.In this course, you'll learn how agents think, act, plan, and use tools - all through clear, beginner-friendly, step-by-step lessons.3 - What You'll Learn:Core concepts of Agentic AI, autonomous agents, and multi-agent systemsBuild your first AI agent from scratchCreate Knowledge Bases and connect them to your agentsConfigure Tools, Actions, and Action Groups for autonomous executionUse AWS Bedrock to implement real agent workflowsTest, refine, and improve agent behaviour through practical, hands-on examplesApply prompt engineering best practices to improve agent reasoningUnderstand how custom agents can be used across business functionsResponsible AI for ethical and safe development guidelines for enterprise AI systemsEverything is simplified, practical, and designed for absolute beginners.4 - Hands-On Focus:You will build:Working agent frameworksKnowledge-powered agentsAction-enabled autonomous workflowsA complete hands-on assignment with guided steps5 - Requirements:Basic Python skills (just beginner level)An AWS account (mostly free-tier access; small usage costs may occur)No prior AI or LLM knowledge required.6 - Who Should Take This Course:Beginners who want to learn Agentic AI in a simple, practical wayDevelopers, QA engineers, cloud engineers, and data professionals exploring real agent workflowsAnyone wanting to build and deploy AI Agents, custom LLM-powered actions, or business-ready AI automationsStart Building the Future - Agentic AI is the direction AI development is heading.If you want practical, job-ready skills in this new era, this course will get you there step-by-step.Enroll now and start building real AI Agents with Agentic AI and AWS Bedrock.
Who this course is for
Beginners who want to understand and build Agentic AI systems through simple, practical explanations
Software developers, QA engineers, data professionals, and tech leaders exploring real-world AI agent workflows
Professionals looking to build, extend, and deploy AI agents, custom solutions or business-ready AI automations
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Agentic AI for Beginners
Published 11/2025
Duration: 5h 47m | .MP4 1280x720 30fps(r) | AAC, 44100Hz, 2ch | 2.40 GB
Genre: eLearning | Language: English​

Learn Agentic AI by Building Real AI Agents with AWS Bedrock - Autonomy, Actions, LLM, Knowledge Base, Hands-On Training

What you'll learn
- Understand the fundamentals of Agentic AI, how autonomous AI agents work, and their real-world applications
- Build your first AI agent from scratch using widely adopted agent frameworks
- Create and integrate knowledge bases to make agents more intelligent, contextual, and efficient
- Configure agent tools, actions, and workflows to enable autonomous task execution
- Develop advanced agent capabilities using AWS Bedrock Action Groups and real cloud implementations
- Test, refine, and optimize agent behavior through hands-on exercises, assignments, and practical demos

Requirements
- No prior experience with AI, Generative AI, or Agentic AI - the course starts from the basics
- Basic Python skills (beginner level)
- An AWS account (free-tier eligible) for hands-on practice with Bedrock and other services

Description
AI Agents are the future. Companies are moving fast toward autonomous, goal-driven Agentic AI systems. This course teaches you exactlyhow to build those real AI agents using AWS Bedrock, LLMs, Actions, and Knowledge Bases, by solving real world business use case in support, operations, IT. If you wanthands-on, practical Agentic AI skills (not theory), this is the course designed for you.

1 - Why Choose this course:

You won't just learn prompts - you'll learnreal Agentic AI:

How LLMs become agents

How agents use tools and actions

How to integrate knowledge sources

How to deploy everything on AWS Bedrock

Clear teaching. Practical demos. Real agent builds. This isnota "watch and learn" course - it's"build as you learn".

2 - Why Agentic AI Matters:

LLMs can answer questions - butagents can take actions, make decisions, use tools, and work autonomously.

This is the next major shift in AI, and it's already transforming development, QA, automation, and cloud engineering.

In this course, you'll learnhow agents think, act, plan, and use tools- all through clear, beginner-friendly, step-by-step lessons.

3 - What You'll Learn:

Core concepts ofAgentic AI, autonomous agents, and multi-agent systems

Build yourfirst AI agent from scratch

CreateKnowledge Basesand connect them to your agents

ConfigureTools, Actions, and Action Groupsfor autonomous execution

UseAWS Bedrockto implement real agent workflows

Test, refine, and improve agent behaviour throughpractical, hands-on examples

Applyprompt engineering best practicesto improve agent reasoning

Understandhow custom agents can be used across business functions

Responsible AIfor ethical and safe development guidelines for enterprise AI systems

Everything is simplified, practical, anddesigned for absolute beginners.

4 - Hands-On Focus:

You will build:

Working agent frameworks

Knowledge-powered agents

Action-enabled autonomous workflows

A complete hands-on assignment with guided steps

5 -Requirements:

Basic Python skills(just beginner level)

AnAWS account(mostly free-tier access; small usage costs may occur)

No prior AI or LLM knowledge required.

6 - Who Should Take This Course:

Beginners who want to learn Agentic AI in a simple, practical way

Developers, QA engineers, cloud engineers, and data professionals exploring real agent workflows

Anyone wanting to build and deploy AI Agents, custom LLM-powered actions, or business-ready AI automations

Start Building the Future -Agentic AI is the direction AI development is heading.

If you want practical, job-ready skills in this new era, this course will get you there step-by-step.

Enroll now and start building real AI Agents with Agentic AI and AWS Bedrock.

Who this course is for:
- Beginners who want to understand and build Agentic AI systems through simple, practical explanations
- Software developers, QA engineers, data professionals, and tech leaders exploring real-world AI agent workflows
- Professionals looking to build, extend, and deploy AI agents, custom solutions or business-ready AI automations
Bitte Anmelden oder Registrieren um Links zu sehen.


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5b815a1e7375ffff352c1421fb40e608.jpg

Agentic AI for Beginners
Published 11/2025
Duration: 5h 47m | .MP4 1280x720 30fps(r) | AAC, 44100Hz, 2ch | 2.40 GB
Genre: eLearning | Language: English​

Learn Agentic AI by Building Real AI Agents with AWS Bedrock - Autonomy, Actions, LLM, Knowledge Base, Hands-On Training

What you'll learn
- Understand the fundamentals of Agentic AI, how autonomous AI agents work, and their real-world applications
- Build your first AI agent from scratch using widely adopted agent frameworks
- Create and integrate knowledge bases to make agents more intelligent, contextual, and efficient
- Configure agent tools, actions, and workflows to enable autonomous task execution
- Develop advanced agent capabilities using AWS Bedrock Action Groups and real cloud implementations
- Test, refine, and optimize agent behavior through hands-on exercises, assignments, and practical demos

Requirements
- No prior experience with AI, Generative AI, or Agentic AI - the course starts from the basics
- Basic Python skills (beginner level)
- An AWS account (free-tier eligible) for hands-on practice with Bedrock and other services

Description
AI Agents are the future. Companies are moving fast toward autonomous, goal-driven Agentic AI systems. This course teaches you exactlyhow to build those real AI agents using AWS Bedrock, LLMs, Actions, and Knowledge Bases, by solving real world business use case in support, operations, IT. If you wanthands-on, practical Agentic AI skills (not theory), this is the course designed for you.

1 - Why Choose this course:

You won't just learn prompts - you'll learnreal Agentic AI:

How LLMs become agents

How agents use tools and actions

How to integrate knowledge sources

How to deploy everything on AWS Bedrock

Clear teaching. Practical demos. Real agent builds. This isnota "watch and learn" course - it's"build as you learn".

2 - Why Agentic AI Matters:

LLMs can answer questions - butagents can take actions, make decisions, use tools, and work autonomously.

This is the next major shift in AI, and it's already transforming development, QA, automation, and cloud engineering.

In this course, you'll learnhow agents think, act, plan, and use tools- all through clear, beginner-friendly, step-by-step lessons.

3 - What You'll Learn:

Core concepts ofAgentic AI, autonomous agents, and multi-agent systems

Build yourfirst AI agent from scratch

CreateKnowledge Basesand connect them to your agents

ConfigureTools, Actions, and Action Groupsfor autonomous execution

UseAWS Bedrockto implement real agent workflows

Test, refine, and improve agent behaviour throughpractical, hands-on examples

Applyprompt engineering best practicesto improve agent reasoning

Understandhow custom agents can be used across business functions

Responsible AIfor ethical and safe development guidelines for enterprise AI systems

Everything is simplified, practical, anddesigned for absolute beginners.

4 - Hands-On Focus:

You will build:

Working agent frameworks

Knowledge-powered agents

Action-enabled autonomous workflows

A complete hands-on assignment with guided steps

5 -Requirements:

Basic Python skills(just beginner level)

AnAWS account(mostly free-tier access; small usage costs may occur)

No prior AI or LLM knowledge required.

6 - Who Should Take This Course:

Beginners who want to learn Agentic AI in a simple, practical way

Developers, QA engineers, cloud engineers, and data professionals exploring real agent workflows

Anyone wanting to build and deploy AI Agents, custom LLM-powered actions, or business-ready AI automations

Start Building the Future -Agentic AI is the direction AI development is heading.

If you want practical, job-ready skills in this new era, this course will get you there step-by-step.

Enroll now and start building real AI Agents with Agentic AI and AWS Bedrock.

Who this course is for:
- Beginners who want to understand and build Agentic AI systems through simple, practical explanations
- Software developers, QA engineers, data professionals, and tech leaders exploring real-world AI agent workflows
- Professionals looking to build, extend, and deploy AI agents, custom solutions or business-ready AI automations
Bitte Anmelden oder Registrieren um Links zu sehen.


r2AIAWRO_o.jpg



RapidGator
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NitroFlare
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