Artificial Intelligence Course helps you learn Generative AI, Agentic AI, Large Language Models (LLMs), Prompt Engineering, LangChain, and AI application development through practical projects and live training. Learn to build, test, and deploy AI applications using Python and modern AI frameworks with hands-on coding, assignments, and real-world projects. Develop practical AI skills from beginner to advanced level with our AI Certification Training.
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Building AI skills is important. Showing those skills to employers is equally important. We help you build projects, prepare for interviews, improve your resume, and create a professional portfolio that supports your job search.
Every student receives structured career support throughout the course, from building projects to preparing for interviews.
Average salary ranges for Artificial Intelligence professionals in India based on experience and practical skills.
AI engineer average salary by experience
Average salary ranges for Artificial Intelligence professionals in India based on experience and practical skills.
AI engineer average salary by experience
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Inventateq has been helping students and professionals build technology careers through industry-focused training. Our courses are designed to keep pace with changing technologies, giving learners access to structured learning, experienced trainers, and a supportive environment where they can continue improving their skills.
We stand apart through our commitment to:
Attend live, instructor-led classes from anywhere with the same hands-on structure as our classroom batches. Follow along step-by-step, get real-time doubt support, and revisit recordings whenever you need to.
A good choice for students who want to build practical Artificial Intelligence skills before starting their career.
Suitable for developers who want to integrate AI, LLMs, and intelligent automation into modern applications.
Ideal for learners who want to expand their knowledge with Generative AI, Agentic AI, and Large Language Models.
Designed for professionals looking to add Artificial Intelligence skills to their current role or move into AI-focused positions.
Suitable for individuals planning to transition into Artificial Intelligence with a structured learning approach and practical projects.
Perfect for anyone interested in understanding how modern AI systems are built, deployed, and used in real-world applications.
Duration: Complete the course in approximately 12 weeks with a structured learning plan.
Training mode: Join live online classes from anywhere with instructor-led sessions.
Batch options: Choose weekday or weekend batches based on your availability.
Learning approach: Every module combines concepts, coding practice, assignments, and projects.
4.7 Star Rating from 1,432+ Google Reviews
Rated 4.9/5 by AI Students
Artificial Intelligence is becoming part of everyday software, business operations, customer support, content creation, and data analysis. Companies are looking for professionals who understand how to build and work with AI applications, not just use AI tools. Learning Artificial Intelligence today helps you stay relevant as technology continues to evolve across every industry.
Artificial Intelligence is more than using AI tools. This course helps you understand how modern AI systems think, remember, communicate, and solve problems through practical implementation.
Learn how AI agents reason, choose actions, and complete tasks using prompts, tools, and structured workflows.
Understand context windows, long-term memory, Vector Databases, and Retrieval-Augmented Generation (RAG).
Connect AI applications to APIs, databases, search engines, documents, and business systems using function calling.
Build systems where specialised AI agents communicate, share information, and complete larger tasks together.
Learn how developers measure accuracy, latency, cost, and output quality before deploying AI applications.
Understand APIs, Docker, cloud deployment, monitoring, and scaling AI applications for real users.
This course is suitable for beginners as well as experienced professionals. Students, graduates, software developers, data professionals, IT engineers, business analysts, and working professionals can join the course. The curriculum starts with the fundamentals and gradually moves towards advanced AI development, making it easy to follow even if you are new to Artificial Intelligence.
The course covers the complete Artificial Intelligence development process. You will learn Python programming, Generative AI, Large Language Models (LLMs), Prompt Engineering, LangChain, LangGraph, Agentic AI, Multi-Agent Systems, Retrieval-Augmented Generation (RAG), Vector Databases, AI deployment, APIs, and cloud-based AI applications. Every module includes practical assignments and projects to help you apply your learning.
The course focuses on practical implementation. Every concept is followed by coding exercises, assignments, and hands-on projects. You will build AI chatbots, AI assistants, document intelligence systems, multi-agent applications, automation tools, and deployment-ready AI solutions. Practical learning helps you understand how Artificial Intelligence is applied in real-world projects.
Yes. Throughout the course, you will complete multiple guided projects and a capstone project. These projects help you apply the concepts learned during training and build a portfolio that demonstrates your practical Artificial Intelligence skills. Working on projects also improves problem-solving ability and prepares you for technical interviews.
Basic programming knowledge is helpful but not mandatory. The course begins with Python fundamentals required for Artificial Intelligence development before progressing to advanced AI concepts. Students who are willing to learn consistently can comfortably follow the curriculum.
The course is delivered through live instructor-led online sessions. Classes include concept explanations, live coding demonstrations, assignments, project discussions, and doubt-solving sessions. Students also receive learning materials and recorded sessions for revision.
Artificial Intelligence skills are in demand across software companies, startups, financial institutions, healthcare organisations, manufacturing companies, consulting firms, and product-based companies. After completing the course, learners can explore roles such as AI Developer, Generative AI Developer, Machine Learning Engineer, LLM Engineer, AI Solutions Engineer, Prompt Engineer, AI Consultant, and Applied AI Engineer.
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Learn moreInventateq offers classroom training across multiple locations. Explore the branch nearest to you and check available batch timings.
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!