Agentic AI Training & Certification Course

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Master Agentic AI and build intelligent agents that get work done, planning, acting, and automating complex tasks from start to finish. While most people still figuring out basic AI, you'll be creating agentic systems that businesses desperately need.

  • Instructor-Led Live Training
  • Resume and Interview Guidance
  • 100% Job Placement Assistance
  • Comprehensive Course Curriculum
  • Projects for Hands-On Experience

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Get expert's call to discuss your goals and receive free advice.

- Aug 21, 2026

Lead the AI Revolution with Agentic AI Skills

Don't just wait watching others shape the future. Companies are racing to adopt intelligent automation, and they're scrambling to find talent who know how to build it.

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Years of Experience

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Students Placed

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Career Transformed


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Average Salary    

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Job Assistance program

Empower your career with us

Under the JanBask Training Job Assistance Program, you can gain access to tailored job placement support and industry connections to kickstart your journey.

Comprehensive Agentic AI Training Syllabus

Start from zero and build working AI agents that solve challenges. This training throws you into practical projects and industry scenarios until you're confident deploying AI agents.

  • What is Agentic AI?
  • Role of LangGraph, AutoGen, CrewAI in the ecosystem
  • OpenAI vs Azure OpenAI vs AWS Bedrock
  • Introduction to foundational concepts: Agents, Tasks, Graphs
  • LangChain recap: Chains, Tools, Memory
  • LangGraph architecture and why it matters
  • Installation, environment setup, and first LangGraph DAG
  • Nodes, Edges, State Machines
  • Understanding transitions and handlers
  • Building a simple agentic task flow
  • Deep dive into LangGraph Python SDK
  • Defining nodes and reactive transitions
  • Testing individual components with unit test strategy

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  • Multi-agent interaction via graph state
  • Introducing dynamic task allocation
  • Conditional logic and loops in graphs
  • Memory, buffers, and shared state
  • Prompt engineering for modular agents
  • Using LangChain tools inside LangGraph
  • AutoGen vs LangGraph
  • AutoGen architecture and agent design
  • Basic use-cases and sample projects
  • Defining roles and communication protocols
  • Tool integration in AutoGen
  • Building helper agents and supervisor agents

  • Orchestrating AutoGen inside LangGraph
  • Handling multi-turn conversations
  • Error handling and edge case design
  • Designing agents for invoice interpretation
  • Simulating document variations
  • Defining success metrics for extraction
  • Tools: Azure Cognitive Vision, AWS Textract, Tesseract
  • Building OCR extractor modules
  • Integration with LangGraph pipeline
  • Data validation agents
  • Retry and fallback agents
  • Visualizing graphs with tools like Graphviz
  • Docker basics, images, volumes, networks
  • Writing Dockerfiles for Python/Node.js agents
  • LangGraph inside Docker
  • Docker Compose YAML structure
  • Orchestrating multiple agents/services
  • Environment variables and secrets
  • Local dev + container testing
  • Bind mounts, logging, and debug modes
  • Container-to-container communication

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  • Pods, Deployments, Services, ConfigMaps
  • K8s vs Docker Compose
  • Setup Minikube for local testing
  • Writing Kubernetes manifests
  • Helm vs Kubectl
  • Deploying a sample LangGraph pipeline
  • Scaling agents
  • Managing state in distributed environment
  • Logging and monitoring via Prometheus & Grafana
  • Resource Group, App Service, Container Registry
  • Deploying Docker container to Azure Web App
  • Azure OpenAI API authentication & quota handling
  • ECS + Fargate for LangGraph
  • Using Bedrock for model inference
  • Integration with CloudWatch, IAM, Textract
  • GitHub Actions basics
  • Docker build & push workflow
  • Kubernetes auto-deploy pipeline
  • Rate limiting & retries
  • API Gateway/Reverse Proxy integration
  • Secure key management
  • LangGraph/AutoGen internal logs
  • Using OpenTelemetry
  • Tracing long-running agent flows

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  • Token usage analysis
  • Latency optimization
  • Cost-performance balance in cloud
  • Structured outputs with ReAct and CoT
  • Use of external toolkits (LlamaIndex, Vector DBs)
  • Model adaptation and few-shot strategies

  • Capturing feedback on agent outputs
  • Self-healing agents with AutoGen feedback loops
  • Dynamic policy adjustment
  • End-to-end pipeline testing
  • Integration with synthetic data generation

  • Simulating multilingual invoices
  • Table extraction logic
  • Structured JSON/Excel output via agents

  • Prompt templating with LangChain
  • Personality configuration for agents
  • Context vs history vs memory tradeoffs

Agenti AI Course Highlights

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Courses Taught By Industry Experts

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Lifetime Access to Learning Resources

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Hand-On Experience Real-Time Project

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4 week Job Assistance Program

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Earn a Certificate On Course Completion

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LMS Platform With Top-Notch Learning Content

Talk to our advisors

Available 24x7 for your queries

Agentic AI And Certification Batch Details

Preferred

Live Class

70+ Hours of remote classes

USD 95920% Off

USD 1199

Enroll Now

Course Duration : 4 Week

Batch Type

Weekdays

Start Date

21 Aug

Timings

09.00 - 10.30 PM EST

Weekdays

04 Sep

09.00 - 10.30 PM EST

Weekend

05 Sep

10.00 - 01.00 PM EST

  • Lifetime access to study material, PPT and videos
  • Learn from industry-best instructors with decades of big-tech experience
  • Real-time live chats, discussions, and Q&A sessions
  • Receive certification post completion of the course
  • Watch recorded sessions anytime
  • 24*7 support from the experts
  • 4 week job assistance program
  • Help to market your profile
  • Industry-Relevant Projects
  • Customized LMS with top-notch content

100% Job Assistance

One on One Module

85+ Hours of e-learning content

USD 159920% Off

USD 1999

Enroll Now

Course Duration : 4 Week

Batch Type

Weekdays

Start Date

21 Aug

Timings

09.00 - 10.30 PM EST

Weekend

05 Sep

10.00 - 01.00 PM EST

  • 100% Job Assistance
  • One-on-One Student Interaction
  • Flexible learning schedule
  • Industry-Relevant Projects
  • Lifetime access to study material/PPT
  • Learn from industry-best instructors with decades of big-tech experience
  • Connect with the instructor on video call to resolve queries
  • Real-time live chats, discussions, and Q&A sessions
  • Receive certification post completion of the course
  • Watch recorded sessions anytime
  • 24*7 support from the instructor
  • 4 week job assistance program
  • Help to market your profile
  • Customized LMS with top-notch content

Self Learning

40+ Hours of e-learning content

USD 25050% Off

USD 499

Flexible Learning

  • Lifetime access to study material/PPT
  • Watch recorded sessions anytime
  • Assignment/recordings by experts
  • Receive certification post completion of the course
  • Customized LMS with top-notch content

Like a Bright Future? Call Now!

Get in touch with our team to discuss your goals and receive expert advice.

Available 24x7 for your queries

+12025993842

What Makes Agentic AI the Next Major Career Breakthrough?

Companies don’t want AIs that just answer questions. They want AI that takes initiative, solves problems, makes decisions, and handles complex workflows without constant supervision.

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$93.20 Billion Market

The Agentic AI market is projected to grow to USD 93.20 billion by 2032.

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79% Adoption

79% of organizations have already implemented AI agents at some level.

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96% Plan Expansion

96% of IT leaders plan to expand their use of AI agents in 2025.​

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171% Average ROI

Organizations project an average ROI of 171% from agentic AI implementations.

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$180K-$300K+ USD

Experienced Agentic AI developers in North America earn between $180,000 and $300,000+ USD annually. Senior professionals at leading tech firms can command even higher packages.

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50% Pilot Programs by 2027

Among companies using generative AI, 25% are launching agentic AI pilots in 2025, growing to 50% by 2027.​

Agentic AI Certificate

A job-oriented Agentic AI Course certificate will help you reach your career objectives. Now is the time to obtain your certification!

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The Impact of Agentic AI Training: Student Testimonials

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Career Services By JanBask Training

Agentic AI Training Career Path

1

Course Completion

After finishing the course, you will be eligible to receive a Agentic AI certification. Earning this will reflect to employers that you have the essential knowledge and skills to work with AI models, prompt engineering, and practical applications.

2

Build a Portfolio

During the course, you'll work on hands-on projects involving LLMs, AI agents, and industry use cases. A strong portfolio demonstrates your practical ability to build and deploy AI solutions to potential employers.

3

Job Preparation

We help you develop an optimized resume that highlights your Agentic AI knowledge, skills, and project successes. Apart from this, we will also help you with interview preparation so you can gain confidence.

4

Job Search

The roles of AI Engineer, ML Engineer, and Prompt Engineer should be your first priorities when seeking a job. Find opportunities by utilizing job platforms, AI-focused job boards, LinkedIn, and professional networks.

5

Job Applications

Apply for Agentic AI jobs that are a good fit for your experience and goals by customizing your cover letter and applications. We guide you throughout the application process to maximize your success.

Frequently Asked Questions

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