TechnogeeksX AI Sale – Learn More, Pay Less
TechnogeeksX AI Sale – Learn More, Pay Less
Upgrade your skills with advanced AI courses from Technogeeks X AI.
Best Gen AI & Agentic AI Course In Pune With 100% Placement Assistance
Bestseller
This Generative AI and Agentic AI specialization program by Technogeeks X AI is designed to help learners master the technologies shaping the future of artificial intelligence. The program introduces the foundations of Artificial Intelligence and gradually moves toward advanced Generative AI models and autonomous AI agents.
You will learn how modern AI systems create content, reason, and perform tasks independently. The course covers important concepts such as Machine Learning, Deep Learning, Neural Networks, and Natural Language Processing. It also focuses on Large Language Models (LLMs), prompt engineering techniques, and Retrieval-Augmented Generation (RAG).
Through instructor-led live sessions, hands-on assignments, and real-world projects, you will gain practical experience building intelligent AI applications. The training also introduces Agentic AI systems that can observe, plan, act, and reflect to complete complex tasks automatically.
At Technogeeks X AI, the program emphasizes practical learning, mentorship, and career preparation. Students work on milestone projects, receive 1:1 mentorship from industry experts, and build strong portfolios to demonstrate their skills.
The course also includes resume building, mock interview preparation, and placement assistance so that learners are ready to confidently apply for AI roles. By the end of the program, you will have the knowledge and practical experience required to design, develop, and deploy next-generation AI solutions.
This training program helps learners move from beginner to AI professional while gaining expertise in Generative AI technologies and intelligent agent systems.
Start your journey in Python Programming with AI and build real-world projects.
Start your journey in Full Stack Java with AI and build real-world web applications.
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Generative AI is a type of artificial intelligence that creates new content such as text, images, code, and audio.
It works using large language models (LLMs) and deep learning techniques that learn patterns from massive datasets to generate human-like outputs.
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Agentic AI refers to AI systems that can plan, reason, and take autonomous actions to achieve goals.
Unlike basic Generative AI, Agentic AI uses tools, memory, and decision-making workflows to perform multi-step tasks independently.
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Learning Gen & Agentic AI requires a blend of technical and problem-solving skills.
Key skills include Python, prompt engineering, APIs, machine learning basics, AI frameworks, and understanding LLM workflows.
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Agentic AI is widely used for automation, intelligent assistants, and decision-making systems.
Common use cases include AI chat agents, workflow automation, customer support bots, autonomous research agents, and enterprise AI solutions.
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Yes, Gen & Agentic AI is one of the fastest-growing and highest-paying career paths.
Companies across industries are adopting AI agents and generative models, creating strong demand for skilled AI professionals.
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Basic coding knowledge is helpful but not mandatory to start learning Gen AI.
Many Gen & Agentic AI courses start from fundamentals and gradually introduce coding, APIs, and automation concepts.
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The course covers modern tools used in Generative and Agentic AI development.
Tools include Python, LLM APIs, prompt engineering frameworks, vector databases, AI agents, and automation platforms.
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The learning duration depends on your background and hands-on practice.
On average, 3 to 6 months of structured learning and real-world projects are sufficient to become job-ready.
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Gen & Agentic AI opens doors to advanced AI-focused roles.
Popular roles include Generative AI Engineer, AI Agent Developer, LLM Engineer, AI Automation Engineer, and AI Product Developer.
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Yes, this course is designed for both freshers and working professionals.
With step-by-step learning, hands-on labs, and real-world projects, learners can transition into AI roles confidently.
