Join Inventateq’s artificial intelligence course in Chicago and learn practical agentic AI, generative AI, and LLM workflow building with OpenAI API, LangChain, Hugging Face, Pinecone, LangGraph, AutoGen, and CrewAI. You will work on structured prompting, tool use, memory, evaluation, deployment, and end-to-end AI projects that map to real job roles.
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
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Learning AI is only part of the job-ready path. Inventateq adds placement support so you can present your projects, tools, and role fit clearly to employers in Chicago and beyond.
Chicago hires AI and analytics talent across tech, consulting, healthcare, finance, retail, and operations teams. Pay grows with project depth, tool knowledge, and the ability to ship working AI systems rather than only explain theory.
Artificial Intelligence Average Salary by Experience
Chicago hires AI and analytics talent across tech, consulting, healthcare, finance, retail, and operations teams. Pay grows with project depth, tool knowledge, and the ability to ship working AI systems rather than only explain theory.
Artificial Intelligence Average Salary by Experience
4.7/5 Google Rating | 1,432+ Verified Reviews
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Success Result: Our students are competing at global levels. Watch their placement journey here.
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Inventateq teaches artificial intelligence with a practical structure, not loose theory. The syllabus moves from LLM basics and prompting into tools, memory, multi-agent systems, guardrails, evaluation, and deployment, so learners see how AI workflows are built end to end.
We stand apart through our commitment to:
Live online training from Chicago is interactive and follows the same practical syllabus as classroom learning. You can join from home, attend mentor-led sessions, and complete the same assignments, projects, and certification-focused training.
Good for learners starting with AI who want a clear path from LLM basics to agent building.
Fits candidates who already know basic Python or analytics and want to move into AI workflows.
Useful for analysts, developers, and testers who want practical AI skills for career growth.
Suitable for graduates who want structured training, projects, and guided mentor support.
Ideal for people moving into AI, data, analytics, or automation roles in Chicago.
Duration: Structured module-based training with project time built in.
Mode: Available in classroom and live online formats.
Learning style: Theory, practicals, assignments, and guided project work.
Pace: Designed for learners who want steady progress with mentor support.
Beginner-friendly batches are available, and you can choose a schedule that fits your routine.
Rated 4.9/5
Inventateq focuses on practical AI training that helps learners move from concepts to working systems. The course is built around agent design, prompt engineering, memory, evaluation, and deployment, so you practice the same kind of tasks used in real projects.
You do not just learn definitions. You practice building AI workflows, connecting tools, managing memory, testing behavior, and deploying projects with guidance.
Learn how to move from an LLM prompt to a usable agent with tool access, memory, and task flow. The course covers research agents, data analyst agents, and multi-agent systems.
Get hands-on exposure to LangChain, LangGraph, AutoGen, and CrewAI. You learn where each framework fits and how to use them in practical workflows.
Work with short-term and long-term memory, vector databases, and retrieval-based workflows. This helps you build AI systems that remember context across steps.
Learn guardrails, approval steps, and budget controls so your agent behaves in a controlled way. This matters when AI actions affect data, tools, or external systems.
Use tracing and evaluation concepts to understand why an agent failed or slowed down. You learn to inspect token use, latency, and action paths.
Practice packaging and deploying AI services with FastAPI, Docker, and cloud platforms. This gives you a stronger portfolio for interviews in Chicago.
The certification validates that you completed guided training in agentic AI, generative AI, tool use, memory, evaluation, and deployment. It helps show employers that you have practical exposure to the tools and workflows covered in the course.
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 because it starts with the evolution from NLP to LLMs, chatbots, and agents. The syllabus builds step by step into tools, memory, planning, and deployment. If you are new to AI, the mentor support helps you follow the flow without getting stuck.
Yes, the course includes practical work such as a research agent, a data analyst agent, and generative AI projects. You also work on chatbot creation and deployment tasks. The idea is to help you practice real workflows, not just read theory.
Yes, placement assistance is included as part of the training support. You get help with resumes, projects, mock interviews, and role guidance. The support is aligned to job paths such as Data Analyst, Business Analyst, and AI Engineer.
Yes, non-technical learners can join if they are ready to follow a structured training path. The course explains the core ideas clearly and ties them to practical tasks. A strong interest in AI, data, and problem-solving is more important than advanced experience at the start.
Yes, live online training is available and follows the same course structure. You can attend the sessions remotely while still working on the same projects and assignments. This is useful if you want flexibility without losing mentor interaction.
The syllabus is organized into multiple modules that cover AI foundations, agentic workflows, generative AI, memory, evaluation, and deployment. Training includes theory, practicals, assignments, certification, and resume preparation. You can choose classroom or live online mode depending on your schedule.
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