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MICRO DEGREE

AI Agent Development - Specialist

Build production grade AI Agents just 4 weeks

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Build production grade AI Agents just 4 weeks

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Application closes on:10 Jun 2026
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Available in 4 monthly installments at $101/month

What is in it for you?

Dive into the world of AI agents and unlock their transformative potential. Through expert-led live classes, hands-on projects, and industry mentorship, you'll master the latest techniques in generative AI, language models, and agentic frameworks. Emerge as an AI agent development specialist, equipped to build intelligent, autonomous systems that revolutionize industries.
100% Live Classes

100% Live Classes 100% Live Classes

Instructor-led Live Sessions Instructor-led Live Sessions

Attend 4 weeks of instructor led live classes from the top 1% industry experts

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Projects & Case Studies

Projects & Case Studies

Projects & Case Studies

Gain hands-on experience with projects and real-world case studies for impactful learning.

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Verified Certificate

Verified Certificate

Verified Certificate

Earn a industry recognized certificate and kick start your career

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Session Recordings

Session Recordings

Session Recordings

Revisit older chapters anytime with recorded sessions

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Flexible Schedule

Flexible Schedule

Flexible Schedule

Choose live classes from different cohorts that fit your availability.

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Hands-on Classes

Hands-on Classes

Hands-on Classes

Hands-on classes to enhance your learning experience

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$1435.00$402.00
limited time offer72% OFF

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Application closes on:10 Jun 2026
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money back guarantee100% Moneyback Guarantee

Available in 4 monthly installments at $101/month

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AI Agent Development - Specialist
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money back guarantee100% Moneyback Guarantee

Available in 4 monthly installments at $101/month

Reserve your spot today!

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Curriculum

Duration: 6 weeks
Max Batch Size: 15 persons
Live Sessions Schedule
dateSat - Sun (Weekends Only) timeTiming 7:00 AM - 9:00 AM / 8:30 AM - 10:30 AM / 11:00 AM - 1:00 PM / 5:00 PM - 7:00 PM / 7:30 PM - 9:30 PM EST

1. Introduction to AI AgentsDownArrow
Sub-topics Covered
  • Course objective – empowering innovators & entrepreneurs
  • Advantages of GenAI
  • Limitations of GenAI
  • Why AI Agents?
  • What are AI Agents?
2. ML, DL & GenAI FoundationDownArrow
Sub-topics Covered
  • AI vs ML vs DL vs GenAI
  • Machine Learning & Deep Learning overview
  • Key Deep Learning terminologies
  • Transfer Learning essentials
  • Transformers & Attention Mechanism
3. GenAI Fundamentals and ApplicationDownArrow
Sub-topics Covered
  • Tokens, Context Window, Rate Limits & Parsers
  • Embeddings, Cosine Similarity & Semantic Search
  • Temperature control & Hallucinations
  • Model Fine-Tuning fundamentals
  • Model Inferencing
  • System prompts & prompt templates
4. Agents & Agentic FrameworksDownArrow
Sub-topics Covered
  • Tools & Tool Calling
  • Introduction to Agents
  • Memory in Agents
  • LangChain basics
  • LangGraph – State, Nodes, Edges & workflows
  • Langfuse for observability
5. RAGDownArrow
Sub-topics Covered
  • RAG Architecture
  • Vector Stores & Metadata Filtering
  • Advanced Chunking Strategies
  • RAG workflow implementation
  • Context Optimization
  • Evaluation techniques
  • V-RAG
6. Advanced Agents ApplicationDownArrow
Sub-topics Covered
  • ReAct Agent
  • Plan & Execute Agent
  • Deep Agents
  • Observability in AI applications
7. Deep Dive into AI AgentsDownArrow
Sub-topics Covered
  • Code Agent
  • Travel Agent
  • Agents as tools
  • Agent debugging techniques
8. Model Context ProtocolDownArrow
Sub-topics Covered
  • MCP tools vs traditional tools
  • Client & Server
  • JSON vs TOON
  • Hands-on with MCP
9. Practical Agentic Coding & AI Workflow AutomationDownArrow
Sub-topics Covered
  • Cursor
  • Antigravity
  • Hands-on vibe-coding
  • LangFlow automation
  • CrewAI/n8n automation
10. Capstone ProjectDownArrow
Sub-topics Covered
  • Industry-specific AI Agent use cases
  • Designing a full-scale AI agent solution
  • Hands-on agent development
  • Debugging & capability enhancement
  • Real-world deployment & presentation
  • Course wrap-up & future trends

Mentors

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18+ Years, Sr. Architect, Microsoft

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20+ Years, Sr. Engineering Manager, Amazon

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12+ Years, Ex-Amazon, Startup Founding Team

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Course Includes

course includes

LIVE Interactive Sessions

course includes

Quizzes, Assignments & Projects

course includes

Study Materials & Session Recordings

course includes

Certificate

Tools Covered

tool

Course Includes

course includes

LIVE Interactive Sessions

course includes

Quizzes, Assignments & Projects

course includes

Study Materials & Session Recordings

course includes

Certificate

Course Pre-requisites

  • pre-requisiteProficiency in Python programming
  • pre-requisiteBasic understanding of large language models (LLMs) and prompt engineering
  • pre-requisiteFamiliarity with APIs and working with external services in Python
  • pre-requisiteFoundational knowledge of AI/ML concepts

Outcomes

  • skillsDesign and build autonomous AI agents with planning, tool use, and multi-step reasoning capabilities
  • skillsImplement agentic architectures using frameworks such as LangChain, CrewAI, and AutoGen
  • skillsBuild multi-agent systems with role specialization, collaboration, and orchestration patterns
  • skillsIntegrate AI agents with enterprise APIs, external data sources, and real-time tools using the Model Context Protocol (MCP)
  • skillsDeploy production-grade AI agents with robust error handling, monitoring, and safety guardrails
  • skillsImplement retrieval-augmented generation (RAG) pipelines to ground agent responses in domain-specific knowledge
  • skillsApply advanced prompt engineering and chain-of-thought techniques to improve agent reasoning
  • skillsAnalyse and evaluate AI agent performance using systematic testing and observability strategies

Projects You Will Build

Practical, enterprise-grade projects that reflect real industry challenges

01

Multi-Agent Customer Support System

Build a multi-agent system where specialized agents handle different customer service functions—FAQ resolution, order tracking, and escalation—collaborating through an orchestration layer. Integrate LangChain and RAG pipelines to ground responses in a company knowledge base, with safety guardrails and fallback mechanisms.

02

Autonomous Research & Report Generation Agent

Develop an AI agent that autonomously searches the web, retrieves relevant documents, synthesizes information, and generates structured research reports on any given topic. Implement multi-step reasoning, tool use via MCP, and iterative self-refinement using CrewAI or AutoGen frameworks.

03

AI-Powered Financial Analysis Agent

Create an agentic system that connects to financial APIs, ingests market data, performs analysis, and delivers personalized investment insights based on user-defined goals and risk profiles. Deploy the agent with production-grade error handling, monitoring dashboards, and audit logging for transparency.

background certification section

for successfully completing the 'AI Agent Development - Specialist' course conducted from 28 Apr 2026 to 09 Jun 2026

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    Industry Respect

    Gain credibility in the field

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    Networking

    Connect with experts and peers

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    Attract exciting job prospects and promotions

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for successfully completing the 'AI Agent Development - Specialist' course conducted from 28 Apr 2026 to 09 Jun 2026

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Limited time$1435.00
$402.00
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100% Moneyback Guarantee

Limited time offer$1435.00$402.00
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Frequently Asked Questions

Everything you need to know about the course

1What prior experience do I need before enrolling in this program?
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You should be proficient in Python programming and have a basic understanding of large language models (LLMs), prompt engineering, and working with APIs. Familiarity with foundational AI/ML concepts will help you get the most out of the curriculum.

2What key topics and frameworks does the curriculum cover?
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The curriculum covers AI agent design patterns, agentic architectures, multi-agent systems, the Model Context Protocol (MCP), retrieval-augmented generation (RAG), advanced prompt engineering, chain-of-thought reasoning, and production deployment. You'll work extensively with frameworks like LangChain, CrewAI, and AutoGen.

3How much time should I dedicate per week to this program?
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The program runs for 5 weeks and includes live expert-led classes, hands-on projects, and mentorship sessions. Plan to invest approximately 10-15 hours per week to fully engage with lectures, complete assignments, and build your portfolio projects.

4What kind of hands-on projects will I work on?
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You'll build three industry-relevant projects: a multi-agent customer support system, an autonomous research and report generation agent, and an AI-powered financial analysis agent. Each project covers real-world scenarios including multi-step reasoning, tool integration, orchestration, and production deployment.

5How will this program impact my career prospects?
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AI agent development is one of the fastest-growing specializations in AI. Completing this program prepares you for roles such as AI/ML Engineer, Conversational AI Specialist, Autonomous Systems Architect, and Robotics Software Developer. The portfolio projects and industry mentorship provide tangible evidence of your skills to employers.

6What tools and technologies will I use throughout the course?
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You'll work with OpenAI APIs, LangChain, CrewAI, AutoGen, Hugging Face Transformers, and Python-based development tools. You'll also learn to integrate agents with external APIs and data sources using the Model Context Protocol (MCP), and deploy agents with monitoring and observability tooling.

7Micro Degree course is live or recorded?
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The Micro Degree course is an online LIVE course, where LIVE sessions will be conducted online on our Classroom platform. Prior to the start of the course, you'll receive preparatory material in the form of recorded content which can be access on the same platform.

8In what language will the course be taught?
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In this course instructors will use English language for teaching.

9How do I access the course details and learning material after registration?
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Upon successful registration, you will receive a confirmation email on your registered email ID. In this email you will receive login details for your newly created account on the Edyoda Classroom platform (https://classroom.edyoda.com). Additionally, you will receive a PDF guide containing step-by-step instructions on how to utilize the platform to access live sessions and learning materials.

10 Who are the instructors, and what is their experience?
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Our instructors are the industry experts with a minimum working experience of 10 years with a strong technical and teaching background. They bring industry knowledge and practical expertise to the course.

11Will there be assignments, assessments, or a final project in the course?
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Yes, the course includes online assignments, quizzes, and a final project to reinforce your learning and assess your proficiency in AI Agent Development - Specialist.

12Can I interact with instructors and fellow students during the course?
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Yes, you can interact with instructors and fellow students through discussion forums, live Q&A sessions. We encourage a supportive learning community.

13What is 100% moneyback guarantee?
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We offer a 100% money-back guarantee to ensure your complete satisfaction. If you're not satisfied, you can request a full refund within 3 days of purchase or before the second session, whichever comes earlier. Simply contact our support team(support@edyoda.com) with your purchase details, such as the order ID or email address, and share your reason for the refund. Requests made after 3 days or after the second session will not be eligible for a refund. There are no hidden charges, you will receive the full amount paid. Refunds are processed within 7–10 business days and credited back to your original payment method.

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