InternX – AI Foundation Program
Become the Top 1% in Tech
The InternX AI Foundation Program is designed to provide learners with hands-on experience in building intelligent systems — from coding fundamentals to cutting-edge Agentic AI.
In association with leading institutions and industry mentors, this program prepares you for the real-world challenges of AI, automation, and innovation.
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🧭 Program Overview
Learn the essential building blocks of Artificial Intelligence through structured modules that blend theory, practice, and real-world projects.
Each module focuses on foundational concepts, guided exercises, and applied learning using popular AI tools and frameworks.
Program Duration: 9–12 weeks
Skill Level: Beginner to Intermediate
Learning Mode: Live + Project-Based Learning
📘 Curriculum Structure
Agentic AI Developer Curriculum Module
Python Programming Foundations
Objective: Build programming skills for AI development.
SLA: 3 days
Topics:
● Python Basics & IDE setup (VSCode, Jupyter, Colab)
● Data types, Variables, Operators
● Control Structures: If-Else, Loops
● Functions & Modular Programming
● Data Structures: Lists, Tuples, Dictionaries, Sets
● File I/O Operations & Exception Handling
● Object-Oriented Programming (Classes, Objects, Inheritance)
Mathematics & Statistics for AI
Objective: Build a strong mathematical foundation.
SLA: 3 days
Topics:
● Linear Algebra: Vectors, Matrices, Matrix Operations
● Calculus Basics: Derivatives, Gradients
● Probability & Statistics: Random Variables, Distributions
● Descriptive Statistics: Mean, Median, Mode, Standard Deviation
● Optimization Basics: Gradient Descent Module
SQL ( Structured Query Language )
Objective: manage data efficiently for AI systems.
SLA: 3 days
Topics:
● SELECT & WHERE Clauses — to extract specific data and filter results.
● JOINS (INNER, LEFT, RIGHT, FULL) — to combine data from multiple tables.
● GROUP BY & Aggregate Functions — to summarize and analyze data.
● Subqueries (Nested Queries) — to perform complex data filtering and reasoning.
● CRUD Operations (Create, Read, Update, Delete) — to manage and modify database data.
Natural Language Processing (NLP)
Objective: Process & analyze text data.
SLA: 3 days
Topics:
● Text Preprocessing Techniques
● Sequence Models & Transformers
● Applications: Chatbots, Question Answering Module
Integrated Machine Learning (ML)and Master’s Program
Objective: Learn core ML concepts & implement models.
SLA: 3 days
● Introduction to Machine Learning
● Supervised Learning: Regression, Classification ● Unsupervised Learning: Clustering
Deep Learning (DL)
Objective: Master neural networks & modern architectures.
SLA: 3 days
Topics:
● Neural Networks: Perceptron, MLP
● CNNs & RNNs for applications
● Frameworks: TensorFlow, PyTorch, Keras
● Transfer Learning & Pre-trained Models
Large Language Models (LLMs)
Objective: Learn to use & fine-tune LLMs.
SLA: 3 days
Topic:
● Transformers & Tokenization
● Prompt Engineering
● Fine-tuning with Hugging Face Transformers
Integrated Machine Learning (ML)and Master’s Program
Objective: Understand what Agentic AI is and why it matters.
SLA: 3 days
Topics:
● Definition of Agentic AI
● Difference between Traditional AI, ML
Agentic AI Core Concepts
Objective: Understand core architecture of Agentic AI.
SLA: 3 days
Topics:
● Components of Agentic AI Systems
● Architectures: ReAct, Chain-of-Thought
● Frameworks: LangChain, AutoGPT
● Practical: Build a Simple Agent with LangChain
Practical Agentic AI Development
Objective: Hands-on integration & applications.
SLA: 3 days
Topics:
● AI Agent ,eg: chatbot ,sales ,marketing,HR,operation,support,etc
● Multi Agent System
● Multi-modal Agent Development
Ethics, Governance, and Safety
Objective: Ensure responsible AI practices.
SLA: 3 days
Topics:
● AI Ethics & Responsible AI Frameworks
● Safety Challenges & Guardrails
● Regulations in AI Module
Final Capstone
Projects
Objective: Apply skills to real-world scenarios.
SLA: 3 days
Projects:
● Autonomous Research Assistant
● Personal AI Assistant with Memory
● Multi-Agent Collaboration
Where Our Alumni Work
NEW SPECIALIZATION PROGRAM
Advanced AI Engineering Program
Offered in Collaboration with CEC, IIT Roorkee
Learn from Expert Instructors from IIT Roorkee and Scaler
Gain practical experience in building LLMs and retrieval systems
Earn a Certificate from CEC, IIT Roorkee and develop in-demand AI skills
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🎯 Learning Outcomes
By the end of this program, participants will acquire comprehensive knowledge and hands-on experience in the field of Artificial Intelligence. They will learn to design, build, and train AI and Machine Learning models using Python while applying mathematical and statistical reasoning for model optimization. The program also enables learners to develop Natural Language Processing and Large Language Model-based systems, understand Agentic AI architectures, and create deployable, autonomous AI agents. Graduates will possess the technical expertise and problem-solving mindset needed to design intelligent, scalable, and responsible AI solutions for real-world applications across industries.
🏆 Who Should Join
This program is ideal for aspiring AI engineers, developers, and data enthusiasts who want to strengthen their technical foundation in artificial intelligence. It also suits tech professionals seeking to transition into AI-driven careers and students or early career professionals eager to build future-ready skills. Participants will gain a strong understanding of coding, data analysis, machine learning, and AI deployment, equipping them to thrive in roles involving automation, intelligent systems, and data-driven innovation.
📜 Certification
Upon successful completion of the program, participants will be awarded a Certificate of Achievement in AI Engineering and Agentic AI Development. This industry-recognized certification validates their theoretical knowledge and practical expertise across key AI domains — including ML, NLP, LLMs, and Agentic AI systems. It showcases their capability to build and deploy intelligent solutions responsibly and serves as a career-enhancing credential that demonstrates their readiness to contribute to the growing field of Artificial Intelligence and automation.
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