Learn practical artificial intelligence training in Dubai with a clear focus on agentic AI, generative AI, LangChain, LangGraph, OpenAI API, Hugging Face, Pinecone, and Docker-based deployment. You will build agent workflows, research agents, data analyst agents, and a working AI project you can show in interviews.
14,200+ (Placed)
Freshers to IT
7,100+ (Placed)
Non-IT to Tech
5,800+ (Placed)
Career Gap Fillers
6,400+ (Placed)
Upskilling Success
24,999₹
In 60 Days + Placement
Free Session
Get Job with our Guaranteed Placement Support Program
9 LPA • AI Engineer
9 LPA • AI Engineer
12 LPA • Data Engineer
16 LPA • Data Engineer
4.3 LPA • AI Engineer
8.45 LPA • Computer Vision Engineer
6.3 LPA • AI Engineer
8.2 LPA • AI Engineer
Learning artificial intelligence is only part of the job-ready process. Inventateq focuses on making you ready for roles that use real tools, real workflows, and interview-facing project work. The placement support is built around the roles covered in this course, from AI Analyst and GenAI Developer to Agentic AI Engineer and AI Consultant.
Dubai hires for AI roles across IT services, startups, product teams, analytics, automation, and cloud-enabled businesses. Salaries rise with your ability to build production-ready AI systems, handle tool use, and deploy working projects.
Artificial Intelligence Average Salary by Experience
Dubai hires for AI roles across IT services, startups, product teams, analytics, automation, and cloud-enabled businesses. Salaries rise with your ability to build production-ready AI systems, handle tool use, and deploy working projects.
Artificial Intelligence Average Salary by Experience
4.7/5 Google Rating | 1,432+ Verified Reviews
4.7 / 5
By Google Reviews
4.7 / 5
By Justdial
4.7 / 5
By Sulekha Courses
4.7 / 5
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Success Result: Our students are competing at global levels. Watch their placement journey here.
Data Engineering @ Accenture - 12 LPA
Junior Accountant @ Fortis - 8 LPA
SQL Developer @ Wipro - 10 LPA
Salesforce Administrator @ Deloitte - 15 LPA
RPA Developer @ IBM - 20 LPA
Tableau Developer @ Genpact - 20 LPA
Talent Acquisition Executive @ Tech Mahindra - 12 LPA
Angular Developer @ Capgemini - 15 LPA
Data Analyst @ Amazon - 25 LPA
Java Developer @ Oracle - 25 LPA
CATIA Design Engineer @ TATA Motors - 20 LPA
AWS Solutions Architect @ Accenture - 25 LPA
Python Developer @ Mphasis - 15 LPA
QA Engineer @ HCLTech - 15 LPA
Cloud DevOps Engineer @ LTIMindtree - 18 LPA
Digital Marketer @ Google - 20 LPA
BTM Layout @ Inventateq - -
Genuine Reviews @ Inventateq - 25 LPA - 50LPA
Data Engineering @ Accenture - 12 LPA
Junior Accountant @ Fortis - 8 LPA
SQL Developer @ Wipro - 10 LPA
Salesforce Administrator @ Deloitte - 15 LPA
RPA Developer @ IBM - 20 LPA
Tableau Developer @ Genpact - 20 LPA
Talent Acquisition Executive @ Tech Mahindra - 12 LPA
Angular Developer @ Capgemini - 15 LPA
Data Analyst @ Amazon - 25 LPA
Java Developer @ Oracle - 25 LPA
CATIA Design Engineer @ TATA Motors - 20 LPA
AWS Solutions Architect @ Accenture - 25 LPA
Python Developer @ Mphasis - 15 LPA
QA Engineer @ HCLTech - 15 LPA
Cloud DevOps Engineer @ LTIMindtree - 18 LPA
Digital Marketer @ Google - 20 LPA
BTM Layout @ Inventateq - -
Genuine Reviews @ Inventateq - 25 LPA - 50LPA
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GOOGLE RATING
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REVIEWS
4.7/5 · 1,432+ Verified Reviews
Inventateq teaches artificial intelligence in a practical sequence, starting from agent basics and moving into prompting, tools, memory, frameworks, planning, guardrails, observability, and deployment. The class work is based on the actual syllabus: OpenAI API, LangChain, Hugging Face, Pinecone, LangGraph, AutoGen, CrewAI, FastAPI, Docker, Render, AWS, and real project delivery.
We stand apart through our commitment to:
Live online training from Dubai follows the same practical syllabus with instructor-led sessions, assignments, and project walkthroughs. You can attend from anywhere in the UAE and still work through the same OpenAI, LangChain, Pinecone, and deployment exercises.
Good for students who want a clear AI career path with tools, projects, and interview support.
Useful for software, data, and analytics professionals who want to move into GenAI and agentic AI roles.
Fits analysts who want to build AI workflows, dashboards, and automation around data tasks.
Helps programmers learn tool calling, frameworks, deployment, and production AI patterns.
A practical option for non-specialists who want a structured course with guided project work.
Duration: Structured weekly modules with classroom-style progression.
Mode: Available in offline and live online formats.
Learning style: Instructor-led sessions with hands-on practice.
Support: Doubt clearing, assignments, and guided project work.
No prior AI experience is required to start.
Rated 4.9/5
Inventateq keeps the training practical and job-facing. The course is built around building, testing, tracing, and deploying AI systems, not just learning terms and definitions.
You will practice the full flow of an AI project: prompting, tool use, memory, evaluation, and deployment. By the end, you will have hands-on experience with frameworks and workflows used in current AI roles.
You learn how to create agents that reason, take actions, and use tools. The course includes research agent and data analyst agent work so you can practice real workflows, not just examples.
You work with LangChain, LangGraph, AutoGen, and CrewAI. This gives you experience with the frameworks companies use for agent orchestration and multi-agent design.
You practice short-term and long-term memory design using vector databases and RAG. This is important when building systems that need context across long conversations and tasks.
You learn how to wrap and deploy AI applications using FastAPI, Docker, AsyncIO, and cloud platforms. That helps you explain not only how the project works but also how it is delivered.
Assignments, project discussion, and mentor feedback help you explain your work clearly. This matters when applying for AI Analyst, GenAI Developer, and AI Engineer roles.
The course covers guardrails, human approval, tracing, and evals. These topics help you build AI systems that are easier to control and debug.
The certification validates that you completed structured training in agentic AI, generative AI, framework usage, and deployment. It helps employers see that you have worked through practical modules and built projects with current tools.
Earn this certificate upon successful completion of our training program.
Validate your skills with recognized industry credentials.
Earn this certificate upon successful completion of our training program.
Validate your skills with recognized industry credentials.
Yes, beginners can join if they are willing to learn in a structured way. The course starts with the evolution from NLP to LLMs, chatbots, and agents before moving into tools, memory, frameworks, and deployment. You do not need to arrive with prior agentic AI experience.
Yes, the syllabus includes hands-on work such as a research agent, a LangGraph port of a ReAct loop, a data analyst agent, and generative AI project deployment. The course is built to help you understand how AI systems behave in practice. That project work is important for interviews and portfolio building.
The course covers OpenAI API, LangChain, LangGraph, Hugging Face, Pinecone, AutoGen, CrewAI, FastAPI, Docker, LangSmith, Phoenix Arize, Playwright, Selenium, and cloud deployment tools like Render or AWS. These tools are used across prompting, memory, orchestration, evaluation, and deployment. The exact tool set helps you learn how modern AI applications are built.
Yes, placement support is part of the training approach. You get help with resume preparation, project presentation, mock interviews, and role targeting. The support is aimed at roles such as AI Analyst, GenAI Developer, and AI Engineer.
Yes, live online training is available. It is suitable for working professionals who want to learn artificial intelligence without attending a physical class every day. The online format still follows the same syllabus and project-based approach.
The course follows a structured weekly progression across the modules listed in the syllabus. Training can be taken in classroom or live online mode depending on your schedule. The format is designed to keep the pace practical and manageable.
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