Artificial Intelligence 4.9 Rating

AI Agents for Autonomous Computing Systems

Gain hands-on expertise in building intelligent AI Agents from the ground up. This 45-day intensive internship (180 hours) covers the complete spectrum — from Python, ML, and Deep Learning to LLM-based agents, RAG pipelines, multi-agent systems, and real-world CS applications in cybersecurity, DevOps, databases, and software engineering. Conclude with a capstone project and earn a Certificate of Completion.

8 Weeks Duration Online Recorded
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About This Program

The "AI Agents for Autonomous Computing Systems" Summer Internship is a structured, project-driven program designed for Computer Science students who want to master modern AI development. Spread across 5 progressive phases, you'll build strong foundations in algorithms, statistics, and neural networks before advancing into cutting-edge topics like Transformer architectures, knowledge graphs, reinforcement learning, and autonomous agent design. You'll gain practical skills in LangChain, LLMs, vector databases (FAISS, Chroma), RAG pipelines, and tool-using agents. Specialized tracks cover AI applications in software engineering, cloud & DevOps, cybersecurity, and edge computing. The program concludes with a full capstone project — choosing from options like an AI Code Assistant, NL2SQL Engine, or Autonomous DevOps Agent — followed by live presentations and certification. What you'll learn: Python · ML & Deep Learning · NLP · Symbolic AI · LLM Agents · RAG · Multi-Agent Systems · Explainable AI · Edge AI · Capstone Project Development

What You Will Learn

Build and deploy intelligent AI Agents from scratch
Master Python, ML, and Deep Learning fundamentals
Design LLM-based agents with tool use and memory
Apply AI to real-world CS domains (cybersecurity, DevOps, databases)
Develop multi-agent systems and reinforcement learning models
Work with Transformer, BERT, and GPT architectures
Create and deploy a full capstone AI project
Use explainable AI (SHAP, LIME) and edge AI techniques

Technologies & Tools

•Python
•TensorFlow
•Keras
•LangChain
•FAISS
•Chroma
•Neo4j
•MLflow
•Weights & Biases
•Z3 Solver
•NetworkX
•XGBoost
•LightGBM
•Streamlit
•FastAPI
•Docker
•Git
•TFLite

What You Will Get

•Fully functional AI Capstone Project (Code Assistant / DevOps Agent / NL2SQL Engine / Cybersecurity Bot)
•Internship Performance report
•Certificate of Completion from RAD Infotech
One-time Payment

₹2,499

₹5,000

This Course Includes:

Lifetime Access
Access on Mobile & TV
Certificate of Completion

Course Curriculum

Module 01

Module 1

Mastering the core fundamentals and advanced techniques in this module to build a strong foundation for your career.

6+ Lessons
Flexible
Day 1: Introduction to AI Agents Link
Day 2: Python for CS - Data Structures & Algorithms Link
Day 3: Object-Oriented Programming & Design Patterns Link
Day 5: Probability & Statistics for CS Link
Day 6: Machine Learning Fundamentals Link
Day 4: Discrete Mathematics & Logic Link
Module 02

Module 2

Mastering the core fundamentals and advanced techniques in this module to build a strong foundation for your career.

6+ Lessons
Flexible
Day 7: Linear Models & Feature Engineering Link
Day 8: Classification & Ensemble Methods Link
Day 9: Clustering & Dimensionality Reduction Link
Day 10: Neural Networks - Perceptron & Backpropagation Link
Day 11: Deep Neural Networks with TensorFlow & Keras Link
Day 12: Convolutional Neural Networks (CNN) Link
Module 03

Module 3

Mastering the core fundamentals and advanced techniques in this module to build a strong foundation for your career.

6+ Lessons
Flexible
Day 13: Recurrent Neural Networks & LSTM Link
Day 14: Transformer Architecture & Attention Mechanism Link
Day 15: NLP & Text Processing Link
Day 16: Symbolic AI & Knowledge Representation Link
Day 17: Knowledge Graphs & Semantic Web Link
Day 18: Phase 2 Review — Deep Learning & Symbolic AI Link
Module 04

Module 4

Mastering the core fundamentals and advanced techniques in this module to build a strong foundation for your career.

6+ Lessons
Flexible
Day 20: Reinforcement Learning - Q-Learning & Policy Gradient Link
Day 21: Multi-Agent Systems Link
Day 22: LLM-Based Agents Link
Day 23: Tool-Using Agents - Function Calling & Code Execution Link
Day 24: Memory Systems for AI Agents Link
Day 19: Agent Architectures - Reactive, Deliberative & Hybrid Link
Module 05

Module 5

Mastering the core fundamentals and advanced techniques in this module to build a strong foundation for your career.

6+ Lessons
Flexible
Day 25: Planning Agents - Goal Decomposition & STRIPS Link
Day 26: RAG - Retrieval Augmented Generation Link
Day 27: Agent Evaluation & Benchmarking Link
Day 4: Topic Name PDF
Day 5: Topic Name Video
Assignment Assignment
Module 06

Module 6

Mastering the core fundamentals and advanced techniques in this module to build a strong foundation for your career.

7+ Lessons
Flexible
Day 1: Topic Name Video
Day 2: Topic Name PDF
Day 3: Topic Name Video
Day 4: Topic Name PDF
Day 5: Topic Name Video
Module Test Quiz
Assignment Assignment
Module 07

Module 7

Mastering the core fundamentals and advanced techniques in this module to build a strong foundation for your career.

7+ Lessons
Flexible
Day 1: Topic Name Video
Day 2: Topic Name PDF
Day 3: Topic Name Video
Day 4: Topic Name PDF
Day 5: Topic Name Video
Module Test Quiz
Assignment Assignment
Module 08

Module 8

Mastering the core fundamentals and advanced techniques in this module to build a strong foundation for your career.

7+ Lessons
Flexible
Day 1: Topic Name Video
Day 2: Topic Name PDF
Day 3: Topic Name Video
Day 4: Topic Name PDF
Day 5: Topic Name Video
Module Test Quiz
Assignment Assignment
Support Center

Frequently Asked Questions

Everything you need to know about the program.

This internship is designed for Computer Science students who want to gain hands-on experience in AI, machine learning, and intelligent agent development.

Basic knowledge of Python and mathematics is recommended. No prior AI experience is required.

The program runs for 45 days with 4 hours per day, totalling 180 hours of learning.

Yes, all students who complete the program receive a Certificate of Completion. Top performers are also eligible for the Best Project Award.

You will build a full capstone AI project from options including an AI Code Assistant, Autonomous DevOps Agent, NL2SQL Engine, Cybersecurity Bot, or Intelligent Scheduler.

It's an Online Internship.

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