Generative & Agentic AI

Step into the future with Generative and Agentic AI! Explore how powerful neural networks and large language models like ChatGPT are transforming creativity, problem-solving, and human-computer interaction. Learn about the magic of prompt engineering, the ethics of intelligent systems, and how autonomous agents are reshaping industries — from education to enterprise. Whether you're curious about text generation, multi-agent collaboration, or real-time decision-making, this journey into AI will empower you with knowledge and inspiration to innovate with the next generation of intelligent systems.

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Apply for Internship

Contact us and Submit your application and get started by providing the necessary documents.

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Review & Selection

Our team will review your application and shortlist candidates based on skills and eligibility.

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Training Sessions

Attend hands-on training sessions in AI, Machine Learning, and Data Science to gain practical knowledge.

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Live Projects

Work on real-world projects that solve critical industry problems, experiment with the code and sharpen your skills.

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Completion & Certification

Receive your certification, showcasing your proficiency in AI and Data Science to potential employers.

COURSE OUTCOMES

Generative & Agentic AI Course Outcomes

Understand core concepts of Generative and Agentic AI, including LLMs, multi-agent systems, and transformer architectures.

Design intelligent agents capable of autonomous task execution and decision-making using tools like LangChain or AutoGen.

Master advanced prompt engineering for optimized output generation across industries and domains.

Build ChatGPT-powered applications and integrate them with APIs, databases, and workflows using agent orchestration.

Deploy AI agents that can plan, reason, and collaborate across complex environments with minimal human supervision.

Create AI-powered content generation systems for blogs, code, reports, and marketing materials.

Implement responsible AI practices including bias detection, explainability, and ethical deployment of generative tools.

Measure and refine AI agent performance through evaluation metrics, A/B testing, and human-in-the-loop strategies.

PREREQUISITE

Basic understanding of Python programming.
Familiarity with data analysis tools (Pandas, NumPy).
Interest in learning Machine Learning and AI concepts.
Familiarity with using web-based applications.
Willingness to solve real-world problems using AI techniques.

Program Modules

"Foundations of Generative & Agentic AI"

01

Introduction to Generative & Agentic AI

Understand the evolution, types, and real-world applications of generative and agentic AI systems.

02

Large Language Models (LLMs)

Explore architectures like GPT, BERT, and transformer-based systems powering today’s AI revolution.

03

Agentic AI Concepts

Understand task-driven AI agents, tool usage, planning, and autonomous execution frameworks.

04

Prompt Engineering & Optimization

Learn few-shot prompting, chain-of-thought reasoning, and system-level prompt design techniques.

"Practical Implementation & Integration"

05

Tool-Use & Autonomous Task Execution

Build AI workflows that use tools like browsers, calculators, and APIs with LangChain & AutoGPT.

06

Real-World Applications of AI Agents

Apply AI agents in domains like research automation, customer service, and code generation.

07

APIs & Toolchain Integration

Hands-on with OpenAI APIs, plugin systems, vector databases, and third-party tools.

08

Build Agentic Chatbots & Copilots

Create goal-oriented, multi-step agents using LangChain, ReAct, or AutoGen frameworks.

"Ethics, Evaluation & Career Readiness"

09

AI Ethics & Safety

Address fairness, explainability, misuse prevention, and safety constraints in agentic systems.

10

Evaluation & Metrics

Measure LLM and agent performance through user feedback, benchmarks, and testing frameworks.

11

Capstone Project: AI Agent Solution

Design and deploy an AI assistant or agent pipeline to solve a real-world industry problem.

12

Career & Freelancing in AI

Explore job roles, portfolios, open-source contributions, and project-based freelancing.

PREREQUISITE

Basic understanding of Python programming.
Familiarity with data analysis tools (Pandas, NumPy).
Interest in learning Machine Learning and AI concepts.
Ability to work with simple data visualization tools (Matplotlib or Seaborn).
Willingness to solve real-world problems using AI techniques.

Career Opportunities

Open doors to a rewarding career :

AI Engineer
Prompt Engineer
Conversational AI Designer
AI Product Developer
AI content Specialist
AI Ethics Consultant
Deep Learning Engineer
Freelance AI Consultant

Top Recruiters

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get in touch

+91-9972140390

info@abeyaantrix.org

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