Join Inventateq’s artificial intelligence course in Irving and learn how modern AI systems are built with agentic workflows, prompt engineering, LangChain, LangGraph, AutoGen, and CrewAI. You will work through practical tools and deployment workflows used in real AI training, including OpenAI API, Hugging Face, Pinecone, Docker, FastAPI, and cloud deployment.
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
Learning AI is only part of the goal. Inventateq helps you present your skills clearly for roles such as AI developer, data analyst, business analyst, and analytics consultant in Irving and the wider Texas market.
AI, data, and analytics roles in Irving are often hired across technology, consulting, operations, finance, and business intelligence teams. Pay grows as you move from project execution to design, deployment, and team leadership.
Artificial Intelligence Average Salary by Experience
AI, data, and analytics roles in Irving are often hired across technology, consulting, operations, finance, and business intelligence teams. Pay grows as you move from project execution to design, deployment, and team leadership.
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
By Course Suggest
Success Result: Our students are competing at global levels. Watch their placement journey here.
0.0
GOOGLE RATING
0k+
REVIEWS
4.7/5 · 1,432+ Verified Reviews
Inventateq teaches artificial intelligence in a practical way, using the actual tools and workflows that show up in agent-based AI work. The syllabus moves from prompt engineering and tool calling to memory, multi-agent systems, guardrails, evaluation, and cloud deployment, so learners understand both how AI agents work and how to ship them.
We stand apart through our commitment to:
The live online experience in Irving is built for flexibility without losing structure. You attend trainer-led classes, see code and workflow demos in real time, and can ask questions during the session. It is useful for working professionals and students who need a practical schedule from home or office.
Good for students who want a job-oriented start in AI and analytics with practical projects.
Useful for professionals moving into agentic AI, automation, or analytics roles.
Helps analysts add LLM workflows, function calling, and deployment skills.
Fits developers who want to build AI agents and production APIs using modern frameworks.
Suitable for learners from non-AI backgrounds who want structured training and support.
Duration: Structured across weekly modules and project sessions.
Mode: Available in classroom and live online formats.
Learning Style: Theory, practical work, and guided project building.
Batch Support: Weekday and weekend options are available based on batch planning.
No prior AI experience is required to start the course.
Rated 4.9/5
Inventateq keeps the training practical and job-focused, with each module tied to hands-on work. Learners do not just read about AI agents; they build them, test them, trace them, and deploy them.
You will leave with project experience in prompt engineering, tool use, memory design, multi-agent workflows, and deployment. The training is focused on what you can actually demonstrate in an interview or portfolio.
You will create agents that can reason, act, use tools, and follow structured workflows based on the course modules.
You will learn how to manage memory, tool errors, guardrails, and evaluation so the system behaves reliably.
You will work with LangChain, LangGraph, AutoGen, CrewAI, OpenAI API, Pinecone, and FastAPI in the course.
You will understand how to package and deploy AI services using Docker, AsyncIO, and cloud-based endpoints.
You will practice presenting your AI projects, which helps in interviews and internal assessments.
The course is designed to support roles in AI, analytics, business intelligence, and consulting.
The certificate validates that you have completed practical training in agentic AI, generative AI workflows, tool calling, memory design, and deployment basics. It helps show employers that your learning was structured and project-based.
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 this course. The training starts with the evolution from NLP to LLMs and agents, then moves step by step into prompting, tools, memory, and deployment. You do not need prior experience with AI to begin.
Yes, the course includes hands-on work throughout the syllabus. You will build a Research Agent, work on a Data Analyst Agent, and complete an end-to-end medical chatbot project. These projects help you apply the concepts instead of only learning theory.
Yes, placement support is part of the training approach. We help with resume preparation, mock interviews, portfolio guidance, and role mapping for jobs related to AI and analytics. The goal is to make your profile clearer and more interview-ready.
Yes, non-technical learners can join if they are willing to study consistently and practice the tools. The course starts with foundational concepts and builds up gradually. With guidance from mentors, many learners from business, operations, and analytics backgrounds can follow the program well.
Yes, live online training is available. You can attend sessions remotely while still receiving trainer interaction, doubt clearing, and project walkthroughs. This works well for learners who want flexibility without losing practical support.
The curriculum covers a full AI workflow, not just prompts. It includes function calling, memory architectures, LangChain and LangGraph, multi-agent systems, guardrails, evaluation, tracing, and deployment. You also study vector databases, open source LLMs, and chatbot project deployment.
The curriculum is organized into weekly modules, with additional project and buffer time included in the training plan. The exact batch pace can vary by mode and schedule. Inventateq uses a structured format so learners can follow the course without rushing through important topics.
Explore more
Browse the same course in nearby cities and training hubs.
Launch your fastest career with Inventateq! Our program equips you with in-demand skills to unlock insights from big data and land your dream job. Join us and become a career hero!