6840+ Job Posting Available
6840+ Job Posting Available
Placements in Build AI Agents: 1,342

AI Agent Development Course Training Online with Certification

Learn how to build AI agents that can reason, call tools, use RAG, manage memory, and run controlled workflows in Python. This online AI Agent Development Course covers LangGraph, CrewAI, OpenAI Agents SDK, MCP, FastAPI, Docker, and the exact tools used to move from chatbot builds to production-style agent systems.

4.7/5 from 1,432 reviews
Hands-on training with 70% development work and Python-first implementation
Covers tool calling, function calling, memory, RAG, and multi-agent systems
Build real agent workflows with LangGraph, CrewAI, and OpenAI APIs
Learn deployment basics with FastAPI, Docker, GitHub, and environment setup
Work on practical projects like customer support, research, and automation agents
Suitable for beginners with basic Python and for professionals moving into AI agent development
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Guarantee Program

14,200+ (Placed)

Freshers to IT

7,100+ (Placed)

Non-IT to Tech

5,800+ (Placed)

Career Gap Fillers

6,400+ (Placed)

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Placement Record

We have placed 10,579 Students in Build AI Agents

Microsoft logo
Google logo
Deloitte logo
Infosys logo
Zomato logo
Tech Mahindra logo
5.2 LPA
Pramod

Pramod

5.2 LPAServiceNow Developer

Prodapt
5.7 LPA
Vihaana

Vihaana

5.7 LPAAndroid Developer

Nextwebi
6 LPA
Navya

Navya

6 LPAAndroid Developer

Corsel Technologies
7 LPA
Karthik

Karthik

7 LPAAndroid Developer

appzoc
9 LPA
Sanjeev Sukla

Sanjeev Sukla

9 LPAAI Engineer

Tech Mahindra
5 LPA
Sukumar Roy

Sukumar Roy

5 LPAData Scientist

Accenture
8 LPA
Jagjith Rathode

Jagjith Rathode

8 LPAMachine Learning Engineer

Deloitte
4 LPA
Lipika Shah

Lipika Shah

4 LPAAI Engineer

Infosys
4 LPA
Kutumb Sharma

Kutumb Sharma

4 LPAAssociate Product Manager

Cognizant
3.45 LPA
Gheeta Kumari

Gheeta Kumari

3.45 LPANetwork Engineer

Cognizant
3.75 LPA
Venkatesh Iyengar

Venkatesh Iyengar

3.75 LPANOC Support Engineer

BharatHire.com
4.4 LPA
Lakshmi Menonon

Lakshmi Menonon

4.4 LPANetwork Administrator

Capgemini
9 LPA
Jagan Roy

Jagan Roy

9 LPAAI Engineer

goibibo
12 LPA
Sharmila

Sharmila

12 LPAData Engineer

TCS
16 LPA
Rahul Rai

Rahul Rai

16 LPAData Engineer

atlys
5.1 LPA
Pawan Singh

Pawan Singh

5.1 LPARPA Developer

Infosys
7.83 LPA
Narayan

Narayan

7.83 LPARPA Business Analyst

Capgemini
5.55 LPA
Sima

Sima

5.55 LPAData Scientist

TATA
40 LPA
Joseph

Joseph

40 LPAAWS Devops Engineer

Amazon
25 LPA
Sameer

Sameer

25 LPASalesforce Developer

Salesforce
30 LPA
Savitha Iyer

Savitha Iyer

30 LPAProject Administrator

Amazon
20 LPA
Jayanthi

Jayanthi

20 LPADigital Marketing Specialist

Zomato
12 LPA
Sangeetha

Sangeetha

12 LPASocial Media Manager

Rubrik
8 LPA
Kishore

Kishore

8 LPADigital Marketing Analyst

Wipro
8.5 LPA
Rekha

Rekha

8.5 LPAPerformance Marketer

Atlassian
4.3 LPA
Jestina

Jestina

4.3 LPADigital marketing specialist

zensar technologies
8 LPA
Sasidharan

Sasidharan

8 LPAPerformance Marketer

atlys
4.3 LPA
Vanaya

Vanaya

4.3 LPAAI Engineer

zensar technologies
7.5 LPA
Jyoti

Jyoti

7.5 LPAData Engineer

Velocity
4.5 LPA
Kaushik

Kaushik

4.5 LPASalesforce Developer

Tech Mahindra
8.45 LPA
Rohini

Rohini

8.45 LPAComputer Vision Engineer

nvidia
5 LPA
Shravya

Shravya

5 LPASAP FICO Analyst

accenture
5.8 LPA
Sandhya

Sandhya

5.8 LPASAP FICO Analyst

Sonata Software
4.2 LPA
Abhiram

Abhiram

4.2 LPAServicenow Developer

Prodapt
4.8 LPA
Krishna

Krishna

4.8 LPATOSCA Automation Engineer

Hexaware
8 LPA
Aqib

Aqib

8 LPAData Engineer

Tiger Analytics
8 LPA
Rohan

Rohan

8 LPATosca Test Analyst

Cognizant
10 LPA
Muskan

Muskan

10 LPAMachine Learning Engineer

Fractal
4.4 LPA
Ritika

Ritika

4.4 LPATosca Administrator

QualityAI
5.7 LPA
Aliya

Aliya

5.7 LPAML Engineer

Mu Sigma
6 LPA
Amith

Amith

6 LPADevops Engineer

Meesho
7.15 LPA
Asha

Asha

7.15 LPADevSecOps Engineer

netsmartz
6.3 LPA
Anamika

Anamika

6.3 LPAAI Engineer

Fractal
7 LPA
Sai Krishna

Sai Krishna

7 LPAMLOps Engineer

First Source
5 LPA
Prachi

Prachi

5 LPAHR Executive

ABC Consultants
7 LPA
Rafiya

Rafiya

7 LPAData Scientist

Tredence
10 LPA
Rudra Lakshmi

Rudra Lakshmi

10 LPABrand Marketing Specialist

gojek
8.2 LPA
Andro

Andro

8.2 LPAAI Engineer

Fractal

Placement Assistance for AI Agent Development Course

Learning the syllabus is only half the job. The other half is showing employers that you can build, explain, and deploy an AI agent without hand-holding, and that is where Inventateq's placement assistance matters. The support is built around the roles this course leads to, including AI Agent Developer, AI Engineer, LLM Application Developer, and AI Automation Developer.

Support starts with project review and resume correction, then moves into portfolio framing, interview question practice, and role-specific mock interviews. As you progress through the modules, the team helps you shape your GitHub work, capstone demo, and technical story so recruiters can see practical agent-building skills clearly.

Our Signature Career Support:

  • Resume help based on AI agent projects, not generic course certificates
  • GitHub portfolio guidance for LangGraph, RAG, MCP, and deployment work
  • Mock interviews on LLM APIs, function calling, prompt design, and security
  • Mentoring for entry-level roles such as AI Application Developer and RAG Developer
  • Interview readiness support for capstone presentation and project explanation

AI Agent Development Course Salary Insights

AI agent roles are being hired across SaaS, support automation, consulting, product teams, and enterprise AI groups. Compensation grows with your ability to build reliable workflows, connect APIs, and deploy agent systems that do real work.

AI Agent Development Course Average Salary by Experience

Why Students Choose Our AI Agent Development Course Online?

4.7/5 Google Rating | 1,432+ Verified Reviews

4.7 / 5

By Google Reviews

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4.7 / 5

By Justdial

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4.7 / 5

By Sulekha Courses

4.7 / 5

By Course Suggest

Success Result: Our students are competing at global levels. Watch their placement journey here.

Bigdata Hadoop Placement Success Stories

Data Engineering @ Accenture - 12 LPA

Student Honest Reviews for Tally Course

Junior Accountant @ Fortis - 8 LPA

What Students Say About Our SQL Course

SQL Developer @ Wipro - 10 LPA

Genuine Student Feedback on Our SalesForce Course

Salesforce Administrator @ Deloitte - 15 LPA

How Our RPA Course Helped Students Build Their Careers

RPA Developer @ IBM - 20 LPA

Learning to Getting Hired – Tableau Student Reviews

Tableau Developer @ Genpact - 20 LPA

Real Student Reviews for HR Course

Talent Acquisition Executive @ Tech Mahindra - 12 LPA

Authentic Student Experiences on our Anjular Js Course

Angular Developer @ Capgemini - 15 LPA

Honest Student Reviews for Data Science Course

Data Analyst @ Amazon - 25 LPA

What Students Say About the Java Course

Java Developer @ Oracle - 25 LPA

Student Video Review for CATIA Course

CATIA Design Engineer @ TATA Motors - 20 LPA

Authentic Student Reviews for AWS Course

AWS Solutions Architect @ Accenture - 25 LPA

Honest Opinions from Python Course Students

Python Developer @ Mphasis - 15 LPA

Real Student Reviews for Software Testing

QA Engineer @ HCLTech - 15 LPA

Devops Course Reviews & Placement Experiences

Cloud DevOps Engineer @ LTIMindtree - 18 LPA

Digital Marketing Course Success Stories | Student Reviews

Digital Marketer @ Google - 20 LPA

Inventateq Classroom Tour

BTM Layout @ Inventateq - -

Students Who Took the First Step

Genuine Reviews @ Inventateq - 25 LPA - 50LPA

Bigdata Hadoop Placement Success Stories

Data Engineering @ Accenture - 12 LPA

Student Honest Reviews for Tally Course

Junior Accountant @ Fortis - 8 LPA

What Students Say About Our SQL Course

SQL Developer @ Wipro - 10 LPA

Genuine Student Feedback on Our SalesForce Course

Salesforce Administrator @ Deloitte - 15 LPA

How Our RPA Course Helped Students Build Their Careers

RPA Developer @ IBM - 20 LPA

Learning to Getting Hired – Tableau Student Reviews

Tableau Developer @ Genpact - 20 LPA

Real Student Reviews for HR Course

Talent Acquisition Executive @ Tech Mahindra - 12 LPA

Authentic Student Experiences on our Anjular Js Course

Angular Developer @ Capgemini - 15 LPA

Honest Student Reviews for Data Science Course

Data Analyst @ Amazon - 25 LPA

What Students Say About the Java Course

Java Developer @ Oracle - 25 LPA

Student Video Review for CATIA Course

CATIA Design Engineer @ TATA Motors - 20 LPA

Authentic Student Reviews for AWS Course

AWS Solutions Architect @ Accenture - 25 LPA

Honest Opinions from Python Course Students

Python Developer @ Mphasis - 15 LPA

Real Student Reviews for Software Testing

QA Engineer @ HCLTech - 15 LPA

Devops Course Reviews & Placement Experiences

Cloud DevOps Engineer @ LTIMindtree - 18 LPA

Digital Marketing Course Success Stories | Student Reviews

Digital Marketer @ Google - 20 LPA

Inventateq Classroom Tour

BTM Layout @ Inventateq - -

Students Who Took the First Step

Genuine Reviews @ Inventateq - 25 LPA - 50LPA

0.0

GOOGLE RATING

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REVIEWS

4.7/5 · 1,432+ Verified Reviews

About Inventateq

Inventateq has built a steady training environment around job-focused technical learning, project work, and interview preparation. For learners taking the AI Agent Development Course online, the value is not just access to content, but a structured teaching setup that keeps the work practical from the first module to the capstone.

We stand apart through our commitment to:

  • Years of training experience across job-oriented IT programs
  • Course delivery built around guided practice, not passive video watching
  • Curriculum updates that track current frameworks and production patterns
  • Support for learners from different backgrounds, including freshers and career switchers
  • Placement-oriented teaching with project review and interview preparation
 classes
Live Online
Remote Learning

Inventateq Online Live Classes

Live online batches are designed for learners who want the same structured coaching without travel time. Sessions run with screen sharing, code walkthroughs, doubt clarification, and project checks so you can build AI agents, test APIs, and revise your work with trainer guidance from home.

100% Live Instructor-Led Online Classes
Dedicated Doubt-Solving Sessions with Mentors
Study Guides, PPTs, and Exam Guidance Included
Class Recordings and Backup Sessions for Missed Classes
Flexible Weekday and Weekend Batch Timings
Career Guidance and Interview Preparation Support

Details of AI Agent Development Course Training Online

Freshers

Learners starting from basic Python and wanting an entry route into AI Agent Development Course roles.

Career switchers

Professionals moving from software, support, or testing into AI agent and LLM application work.

Non-IT learners

Candidates who know basic programming and want a structured path into practical AI development.

Python learners

Students with Python basics who want to apply that knowledge to real LLM and agent projects.

Automation-focused learners

People interested in building agents that can use tools, APIs, and workflows for business tasks.

Interview-ready candidates

Learners who want portfolio work, project explanations, and placement support built into training.

Quick Highlights of AI Agent Development Course Training Online

A two-month online program with a practical build schedule.

  • Duration: Recommended course length is 2 months.

  • Training split: 30% concepts and 70% hands-on development.

  • Language: Python is the primary language used throughout.

  • Level: Starts at beginner level and moves to advanced agent engineering.

AI Agent Development Course Curriculum

1. Module 1: Introduction to AI Agents (Week 1)

W1
  • What an AI agent is and how it differs from a chatbot or a generic AI application
  • Agentic AI versus generative AI, plus the main components of an agent system
  • Perception, reasoning, planning, action, observation, and feedback loops
  • A first assistant build that answers questions and asks for more information when needed

2. Module 2: Python & LLM Application Development (Week 2)

W2
  • Python for AI applications, including API integration and JSON handling
  • Environment variables, exception handling, async basics, and authentication setup
  • Calling LLM APIs from OpenAI, Claude, and Gemini
  • Returning structured outputs and handling API failures cleanly

3. Module 3: Prompt Engineering for Agents (Week 3)

W3
  • System instructions, agent instructions, and role-based prompting
  • Few-shot prompting, structured prompting, and prompt templates
  • Task decomposition, planning prompts, and tool-selection prompts
  • Output validation, error recovery prompts, and behavior control for reliable agents

4. Module 4: Tool Calling & Function Calling (Week 4)

W4
  • What agent tools are and how function calling works
  • Tool schemas, tool selection, tool execution, and tool results
  • Building tools for calculator, web search, weather, email, database, and file tasks
  • Connecting custom Python tools to an LLM agent for business automation

5. Module 5: RAG & Knowledge-Based AI Agents (Week 5)

W5
  • Retrieval-Augmented Generation and why agents need external knowledge
  • Document ingestion, chunking, embeddings, retrieval, and context injection
  • Vector databases such as FAISS, ChromaDB, and PostgreSQL with pgvector
  • Building company knowledge agents using PDFs, websites, manuals, and internal docs

6. Module 6: Agent Memory & Context Management (Week 6)

W6
  • Short-term and long-term memory for stateful agent behavior
  • Conversation history, persistent state, session memory, and database-backed storage
  • Summarization, context compression, memory retrieval, and cleanup
  • Personalized support agents that remember users, preferences, and previous issues

7. Module 7: Agent Workflows with LangGraph (Week 7)

W7
  • Nodes, edges, state, conditional routing, loops, and checkpoints
  • Sequential, conditional, and iterative workflows with retry patterns
  • Human-in-the-loop steps and durable execution for longer-running processes
  • Research, approval, customer support, and automated decision workflows

8. Module 8: Multi-Agent Systems (Week 8)

W8
  • Single-agent versus multi-agent architecture and why specialization matters
  • Supervisor agents, worker agents, delegation, and agent communication
  • Framework exposure through CrewAI, LangGraph, OpenAI Agents SDK, Google ADK, and Microsoft Agent Framework
  • Building a research team of specialized agents that collaborate on one task

9. Module 9: MCP & Agent Tool Ecosystem (Week 9)

W9
  • Model Context Protocol basics, architecture, and tool discovery
  • MCP clients, MCP servers, resources, prompts, and custom tools
  • Using MCP to connect models to databases, APIs, and file systems
  • Creating an MCP-powered business agent with reusable integrations

10. Module 10: Advanced Agent Patterns (Week 10)

W10
  • ReAct, planning agents, reflection, and self-correction
  • Router agents, supervisor agents, critic agents, and evaluator agents
  • Retry and recovery strategies for broken or incomplete tool runs
  • Building autonomous business process agents with validation and approval

11. Module 11: Agent Evaluation, Guardrails & Security (Week 11)

W11
  • Reliability, hallucination control, prompt injection, and tool security
  • Input validation, output validation, access control, and audit logs
  • Evaluation using success rate, accuracy, latency, token usage, and cost
  • Testing agents against malicious prompts, failures, and missing information

12. Module 12: Agent Deployment & Production Engineering (Week 12)

W12
  • FastAPI, REST APIs, and backend integration for agent delivery
  • Docker, environment configuration, secrets management, and authentication
  • Logging, monitoring, rate limiting, and scaling concepts
  • Turning an agent into a production-style API with a frontend-to-backend flow

13. Module 13: Agent Observability & Performance Optimization (Week 13)

W13
  • Tracing, logging, debugging, and failure analysis
  • Token monitoring, cost optimization, and latency reduction
  • Using LangSmith and evaluation frameworks to inspect agent runs
  • Building a monitoring dashboard for requests, errors, and estimated cost

14. Module 14: Agent-to-Agent Communication & Advanced Ecosystem (Week 14)

W14
  • Agent-to-agent communication and interoperability patterns
  • Delegation between independent agents in a multi-system architecture
  • A2A concepts alongside MCP, and where each fits in the stack
  • Building a network where customer, sales, finance, and support agents coordinate

15. Capstone: Enterprise AI Agent Platform (Week 15)

W15
  • A full end-to-end system combining LLM integration, RAG, tool calling, memory, and workflow control
  • LangGraph, MCP integration, human-in-the-loop, guardrails, and evaluation
  • FastAPI backend, Docker, monitoring, and deployment workflow
  • A final architecture that runs from user request to validation and final response

Student Reviews – Build AI Agents

4.7 Star Rating from 1,432+ Google Reviews

Vibhu Rajesh

Vibhu Rajesh

3.3 LPA • Soft India

The learning experience at Inventateq is unparalleled. The trainers are not just knowledgeable but also passionate about teaching. They make complex topics easy to understand. I am extremely satisfied with the quality of education I received here.

Lakshmi Iyer

Lakshmi Iyer

30 LPA • Google India

Inventateq is a beacon of hope for aspiring professionals. Their practical approach to learning and emphasis on skill development make them stand out. The mentors provide individualized attention, nurturing each student's strengths. I owe my success to their guidance.

Mohammed Basha

Mohammed Basha

14.8 LPA • Lenovo

I cannot speak highly enough of Inventateq. Their commitment to student success is evident in every aspect of their training program. The hands-on projects and real-world simulations prepare students for the challenges of the industry. Truly a transformative experience!

Meera Nair

Meera Nair

10 LPA • Tech Mahindra

Inventateq is the epitome of excellence in industry-aligned training. The personalized attention from mentors sets them apart. The placement support provided by them is top-notch. I'm grateful for their unwavering support throughout my journey.

Shaik Shaheed

Shaik Shaheed

6.5 LPA • Aptus Data Labs

Inventateq gave me practical training and interview prep that helped me land my dream role. Mentors were always available to clear doubts and guide me through every step of the placement process.

Nikita Jain

Nikita Jain

15 LPA • Accenture

The placement support team connected me with top brands. Resume sessions and mock interviews made a huge difference in my confidence during campus drives and off-campus interviews.

Manikanta Saladi

Manikanta Saladi

40 LPA • AWS

Industry-focused curriculum and real-time projects prepared me for cloud roles. I highly recommend Inventateq to every aspiring developer looking for serious career growth.

Priya Sharma

Priya Sharma

18 LPA • Microsoft

Personalised courses and dedicated mentors helped me switch careers successfully. The learning environment is supportive, professional, and focused on real outcomes.

Sandhya Bm

Sandhya Bm

— • Inventateq

I had a very good learning experience with Inventateq. The SAP FICO training was well-structured and covered both theoretical concepts and practical scenarios. The trainers were knowledgeable, supportive, and always ready to clarify doubts. The hands-on exercises and real-time examples helped me understand SAP FICO processes better. The course has improved my confidence in working with SAP and preparing for SAP-related job opportunities. I would recommend Inventateq to anyone looking to build their career in SAP FICO.

Gokul A

Gokul A

— • Inventateq

I enrolled in the Salesforce Admin course at Inventateq. The institute provides quality technical training with experienced trainers and useful learning materials. The sessions are practical-oriented, and trainers clarify doubts clearly, which helped me understand the concepts better. Overall, I am satisfied with the course and the learning environment. One area where the institute can improve is by including more soft skills training, communication development, and interview preparation sessions. Adding these would help students become more confident and industry-ready for placements and real-world opportunities.

Shaik Misrath

Shaik Misrath

— • Inventateq

I had an excellent learning experience with Inventateq Training Institute. The support and teaching quality were outstanding. Nikitha was extremely helpful in managing demos, classes, and addressing all queries in a timely and professional manner. Bharannidharan Sir provided in-depth knowledge of Cloud Security with clear explanations and real-world insights. His guidance and support made learning both effective and enjoyable. I highly recommend Inventateq to anyone looking to build a strong career in cloud and cybersecurity.

Maheswaran M

Maheswaran M

— • Inventateq

It’s a great place to learn big data Hadoop and trainer is more supportive once after completing the course but our efforts are also more important to get the job and train better. Thank you inventateq for your support and guidance.

Manaswini Kolupula

Manaswini Kolupula

— • Inventateq

Inventateq Institute Bangalore offers quality technical training with experienced trainers and helpful learning materials. The classes are practical-oriented and doubts are clarified properly. Overall, I am satisfied with the course training. However, adding soft skills, communication skills, and interview preparation sessions would greatly enhance the overall learning experience and make students more industry-ready.

MUKTHA C V

MUKTHA C V

— • Inventateq

I completed the Data Science course at Inventateq Institute. The training covered Python, Statistics, and Machine Learning libraries like NumPy, Pandas, and Scikit-learn with practical examples. Overall, it was a good learning experience and I sincerely thank the trainers for their support and guidance.

srikruthi n

srikruthi n

— • Inventateq

Excellent way of teaching with examples. Easy to understand. Crisp and clear. Highly knowledgeable and experienced sir. Practiced calculations alot. Highly recommend payroll online class . Teched very patiently. Thank you so much for everything sir.

Thejaswini Asundi

Thejaswini Asundi

— • Inventateq

I completed the Data Science course at Inventateq. The training was practical and easy to understand. Trainer was supportive, and the course helped me improve my skills. Good place to learn Data Science.

Heemanshu Mahadeva

Heemanshu Mahadeva

— • Inventateq

I enrolled for Salesforce Admin course here. From the day one support was genuine and honest.They listen to your concern and fedback regarding the course. My sincere thanks to Nikitha and Tutor Jai Yadav.

Bindhiya gowda

Bindhiya gowda

— • Inventateq

I completed a Data Science course at Inventateq, and it was an incredibly valuable experience. The training was comprehensive, covering essential topics like Python, Machine Learning algorithms, Data Visualization, and real-world project implementation. The instructors were knowledgeable and always ready to clarify doubts with practical examples. The hands-on approach, combined with real-time case studies and assignments, helped me strengthen my understanding and build confidence in applying concepts to real data. It gave me a great boost as I transitioned into applying for data science roles. I highly recommend Inventateq to anyone looking to begin or transition into the field of Data Science.

sanhita dawn

sanhita dawn

— • Inventateq

I joined Inventateq for the Digital Marketing course, and it was a very good experience. Arif sir was extremely helpful and supportive. He explained everything clearly and with great care. His teaching style made the concepts easy to understand. Overall, I’m very satisfied with the training and truly appreciate his guidance.

uma bn

uma bn

— • Inventateq

I joined the HR course, and the teaching is good. It has helped me a lot, and the coordinators are very supportive.

Dhanush D

Dhanush D

— • Inventateq

I completed my Salesforce Admin and developer course at Inventateq training institute, Btm Layout. The trainer was very friendly and teaching very clearly and understand the topics and most of the topics has explained with real time examples and individual guidance makes learning very easy and effective, also trainer was very clearly guide me about interview preparations. I had an amazing experience and also give the good placement support. Thank u Inventateq

Asim Ali

Asim Ali

— • Inventateq

I have done AWS DevOps course in inventateq institute located in btm layout bangalore, the trainer’s deep expertise and practical exercises made complex topics easy to grasp. I now working in a IT Company as a Cloud Engineer with a good salary.

Ganesh K S

Ganesh K S

— • Inventateq

Inventateq provides the Aspirant an In depth knowledge of SAP MM and makes them proficient in using the software. Course training will make learner expertise in the software and provides the chances of grabbing good job opportunities in this domain.

aditya singh

aditya singh

— • Inventateq

I had a great learning experience at this institute. The faculty was knowledgeable and supportive, and the curriculum was well-structured, covering all the important concepts in depth. A good place to learn skills like Data Science and other tech courses.

Vibhu Rajesh

Vibhu Rajesh

3.3 LPA • Soft India

The learning experience at Inventateq is unparalleled. The trainers are not just knowledgeable but also passionate about teaching. They make complex topics easy to understand. I am extremely satisfied with the quality of education I received here.

Lakshmi Iyer

Lakshmi Iyer

30 LPA • Google India

Inventateq is a beacon of hope for aspiring professionals. Their practical approach to learning and emphasis on skill development make them stand out. The mentors provide individualized attention, nurturing each student's strengths. I owe my success to their guidance.

Mohammed Basha

Mohammed Basha

14.8 LPA • Lenovo

I cannot speak highly enough of Inventateq. Their commitment to student success is evident in every aspect of their training program. The hands-on projects and real-world simulations prepare students for the challenges of the industry. Truly a transformative experience!

Meera Nair

Meera Nair

10 LPA • Tech Mahindra

Inventateq is the epitome of excellence in industry-aligned training. The personalized attention from mentors sets them apart. The placement support provided by them is top-notch. I'm grateful for their unwavering support throughout my journey.

Shaik Shaheed

Shaik Shaheed

6.5 LPA • Aptus Data Labs

Inventateq gave me practical training and interview prep that helped me land my dream role. Mentors were always available to clear doubts and guide me through every step of the placement process.

Nikita Jain

Nikita Jain

15 LPA • Accenture

The placement support team connected me with top brands. Resume sessions and mock interviews made a huge difference in my confidence during campus drives and off-campus interviews.

Manikanta Saladi

Manikanta Saladi

40 LPA • AWS

Industry-focused curriculum and real-time projects prepared me for cloud roles. I highly recommend Inventateq to every aspiring developer looking for serious career growth.

Priya Sharma

Priya Sharma

18 LPA • Microsoft

Personalised courses and dedicated mentors helped me switch careers successfully. The learning environment is supportive, professional, and focused on real outcomes.

Sandhya Bm

Sandhya Bm

— • Inventateq

I had a very good learning experience with Inventateq. The SAP FICO training was well-structured and covered both theoretical concepts and practical scenarios. The trainers were knowledgeable, supportive, and always ready to clarify doubts. The hands-on exercises and real-time examples helped me understand SAP FICO processes better. The course has improved my confidence in working with SAP and preparing for SAP-related job opportunities. I would recommend Inventateq to anyone looking to build their career in SAP FICO.

Gokul A

Gokul A

— • Inventateq

I enrolled in the Salesforce Admin course at Inventateq. The institute provides quality technical training with experienced trainers and useful learning materials. The sessions are practical-oriented, and trainers clarify doubts clearly, which helped me understand the concepts better. Overall, I am satisfied with the course and the learning environment. One area where the institute can improve is by including more soft skills training, communication development, and interview preparation sessions. Adding these would help students become more confident and industry-ready for placements and real-world opportunities.

Shaik Misrath

Shaik Misrath

— • Inventateq

I had an excellent learning experience with Inventateq Training Institute. The support and teaching quality were outstanding. Nikitha was extremely helpful in managing demos, classes, and addressing all queries in a timely and professional manner. Bharannidharan Sir provided in-depth knowledge of Cloud Security with clear explanations and real-world insights. His guidance and support made learning both effective and enjoyable. I highly recommend Inventateq to anyone looking to build a strong career in cloud and cybersecurity.

Maheswaran M

Maheswaran M

— • Inventateq

It’s a great place to learn big data Hadoop and trainer is more supportive once after completing the course but our efforts are also more important to get the job and train better. Thank you inventateq for your support and guidance.

Manaswini Kolupula

Manaswini Kolupula

— • Inventateq

Inventateq Institute Bangalore offers quality technical training with experienced trainers and helpful learning materials. The classes are practical-oriented and doubts are clarified properly. Overall, I am satisfied with the course training. However, adding soft skills, communication skills, and interview preparation sessions would greatly enhance the overall learning experience and make students more industry-ready.

MUKTHA C V

MUKTHA C V

— • Inventateq

I completed the Data Science course at Inventateq Institute. The training covered Python, Statistics, and Machine Learning libraries like NumPy, Pandas, and Scikit-learn with practical examples. Overall, it was a good learning experience and I sincerely thank the trainers for their support and guidance.

srikruthi n

srikruthi n

— • Inventateq

Excellent way of teaching with examples. Easy to understand. Crisp and clear. Highly knowledgeable and experienced sir. Practiced calculations alot. Highly recommend payroll online class . Teched very patiently. Thank you so much for everything sir.

Thejaswini Asundi

Thejaswini Asundi

— • Inventateq

I completed the Data Science course at Inventateq. The training was practical and easy to understand. Trainer was supportive, and the course helped me improve my skills. Good place to learn Data Science.

Heemanshu Mahadeva

Heemanshu Mahadeva

— • Inventateq

I enrolled for Salesforce Admin course here. From the day one support was genuine and honest.They listen to your concern and fedback regarding the course. My sincere thanks to Nikitha and Tutor Jai Yadav.

Bindhiya gowda

Bindhiya gowda

— • Inventateq

I completed a Data Science course at Inventateq, and it was an incredibly valuable experience. The training was comprehensive, covering essential topics like Python, Machine Learning algorithms, Data Visualization, and real-world project implementation. The instructors were knowledgeable and always ready to clarify doubts with practical examples. The hands-on approach, combined with real-time case studies and assignments, helped me strengthen my understanding and build confidence in applying concepts to real data. It gave me a great boost as I transitioned into applying for data science roles. I highly recommend Inventateq to anyone looking to begin or transition into the field of Data Science.

sanhita dawn

sanhita dawn

— • Inventateq

I joined Inventateq for the Digital Marketing course, and it was a very good experience. Arif sir was extremely helpful and supportive. He explained everything clearly and with great care. His teaching style made the concepts easy to understand. Overall, I’m very satisfied with the training and truly appreciate his guidance.

uma bn

uma bn

— • Inventateq

I joined the HR course, and the teaching is good. It has helped me a lot, and the coordinators are very supportive.

Dhanush D

Dhanush D

— • Inventateq

I completed my Salesforce Admin and developer course at Inventateq training institute, Btm Layout. The trainer was very friendly and teaching very clearly and understand the topics and most of the topics has explained with real time examples and individual guidance makes learning very easy and effective, also trainer was very clearly guide me about interview preparations. I had an amazing experience and also give the good placement support. Thank u Inventateq

Asim Ali

Asim Ali

— • Inventateq

I have done AWS DevOps course in inventateq institute located in btm layout bangalore, the trainer’s deep expertise and practical exercises made complex topics easy to grasp. I now working in a IT Company as a Cloud Engineer with a good salary.

Ganesh K S

Ganesh K S

— • Inventateq

Inventateq provides the Aspirant an In depth knowledge of SAP MM and makes them proficient in using the software. Course training will make learner expertise in the software and provides the chances of grabbing good job opportunities in this domain.

aditya singh

aditya singh

— • Inventateq

I had a great learning experience at this institute. The faculty was knowledgeable and supportive, and the curriculum was well-structured, covering all the important concepts in depth. A good place to learn skills like Data Science and other tech courses.

Rated 4.9/5 by AI Students

Why Learn AI Agent Development Course Today?

AI agent development is moving from prototype demos to production software across support, HR, research, and internal automation. Learners who can build controlled, tool-using, deployable agents are entering a skill area that employers are actively shaping right now.

Why Students Start Learning AI Agent Development Course

  • The subject is practical: companies want agents that can call tools, retrieve knowledge, and complete tasks reliably.
  • The framework mix is real, not theoretical, with LangGraph, CrewAI, OpenAI Agents SDK, Google ADK, and Microsoft Agent Framework in use.
  • MCP and A2A are becoming important for how agents connect to tools and other agents in real systems.
  • Inventateq teaches the subject through builds, not just explanations, so learners can show working projects.
  • The online format suits working learners who want structured agent training without missing the production-style details.

Build Real AI Agent Skills That Open Job Opportunities

By the end of the program, learners can move from prompt writing to building full agent systems. The focus is on code, architecture, workflow control, and deployment so the output is usable in interviews and portfolio reviews.

Design a working AI agent architecture

You will be able to explain and build the core components of an AI agent: reasoning, planning, memory, tools, and execution. That makes your project discussions more concrete in interviews and client conversations.

Connect agents to real APIs and tools

You will know how to use function calling and tool calling to connect assistants with external systems. This includes business actions such as search, email, file processing, and database queries.

Build knowledge-grounded RAG agents

You will be able to make agents answer from documents, manuals, and internal content instead of guessing. That capability is important for support, policy, and enterprise knowledge use cases.

Create stateful workflows with LangGraph

You will be able to design workflows with nodes, state, routing, retries, and human approval. This is the difference between a simple demo and a controllable system.

Develop multi-agent solutions

You will be able to split work across specialized agents like researcher, writer, reviewer, and supervisor. That approach is useful when one model should not do every task alone.

Deploy and monitor an agent application

You will be able to package an agent with FastAPI and Docker, then observe logs, traces, latency, and cost. That makes the project feel like real software, not a notebook exercise.

Detailed Insights :: AI Agent Development Course Training Online

Students Most Asked Questions

Is this AI Agent Development Course suitable for beginners?

Yes, the program starts from fundamentals and moves into advanced agent engineering. Learners should have basic Python knowledge, and there is support for those who need a foundation module before the main agent topics. The course does not assume advanced math or deep AI research background.

Will I build hands-on projects in this course?

Yes, the syllabus is built around mini projects, industry projects, and a capstone platform. You will work on assistants, RAG systems, workflow agents, multi-agent systems, and a deployable AI agent API. That project work is central to how the course is taught.

Does Inventateq provide placement assistance for this course?

Inventateq provides placement assistance focused on resume support, project presentation, interview practice, and portfolio preparation. The support is aligned to roles like AI Agent Developer, LLM Application Developer, AI Automation Developer, and RAG Developer. It is meant to improve job readiness, not promise outcomes that depend on the learner and the market.

Can non-IT learners join the AI Agent Development Course?

Yes, non-IT learners can join if they have basic programming familiarity and are ready to work through Python and API concepts. The program is practical and starts with the building blocks needed for LLM applications and agent workflows. Learners with consistent practice can progress into the project modules.

Is the training live online?

Yes, the course is delivered as live online training. That format includes screen sharing, code walkthroughs, doubt clearing, and project guidance, so the learner can follow the build process in real time. It is designed to work well for home study without losing structure.

What is the course duration and learning style?

The recommended duration is 2 months, with a 30% concepts and 70% hands-on split. That means the schedule is paced to keep theory short and build time high. Learners spend most of the program creating and testing actual agent systems.

Do I need advanced AI or machine learning knowledge before joining?

No, advanced AI or machine learning mathematics is not required. The course focuses on Python, LLM APIs, prompts, retrieval, tools, workflows, and deployment. Those are the skills most relevant to applied AI agent development roles.

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