Book a FREE Trial
✦ Senior Coder · Level 3

Advanced Artificial Intelligence, LLMs & Agentic AI

Build the Technology Behind ChatGPT, Claude, Gemini & Autonomous AI Agents
For students who have completed Senior Coder Level 2 or have prior Python & AI foundations
Welcome to the most advanced AI program in our coding pathway.

Students move beyond programming and machine learning into the exciting world of Artificial Intelligence, Natural Language Processing (NLP), Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI - learning how modern AI systems understand language, recommend content, retrieve information, generate intelligent responses, and collaborate using multiple AI agents.
⏱ 65 Hrs + 5–8 Hrs Assessment
🔴 Online - Personalized Live Classes
🤖 Machine Learning to Agentic AI
🎖 Certificate On Completion
Rated 4.8/5
on TrustPilot
Rated 4.8/5
on Google
500,000+
Hours of learning
40+
Countries
Book a Free Trial

Senior Coder

Level 3
Curriculum Designed By Educators And Technologists Who Worked For Tech Leaders
About Course

Why Artificial Intelligence Matters?

Artificial Intelligence is transforming every industry on the planet.
From healthcare and finance to entertainment, education, robotics, transportation, and scientific research, AI is becoming the technology that powers the future.
The next generation of innovators will not simply use AI tools. They will build them.
This program gives students a unique opportunity to understand the technologies powering ChatGPT, Claude, Gemini, Perplexity, Netflix recommendations, intelligent search engines, autonomous assistants, and next-generation AI systems.
Instead of treating AI as a black box, students learn how intelligent systems are designed, trained, deployed, and improved.
Students begin working with concepts and tools used in industry environments including:
Machine Learning Systems
Natural Language Processing
Neural Networks & Deep Learning
Transformer Architecture
BERT & GPT Concepts
Prompt Engineering
Vector Databases & RAG
Agentic AI & Multi-Agent Systems
LangGraph & CrewAI
Production AI Development
Book a Free Trial Class

Transparent Pricing

Pay monthly.
Stay because you love it.

Most coding academies ask you to pay upfront for months - before your child has even had a single class. At ItsMyBot, we think that's backwards. You pay month to month, and you're always in control.

What you get
Other Academies
ItsMyBot
Monthly billing
✗
✔ Yes
Full upfront payment required
✗ Often yes
✔ Never
Freedom to pause anytime
✗ Rarely
✔ Always
Pricing based on your needs
— Fixed plans
✔ Personalised
📅

Month-to-Month Enrolment

Enrol and pay one month at a time. No annual lock-ins, no large upfront amounts. Your investment stays proportional to the value your child receives.

🎯

Pricing Built Around You

Pricing varies based on the teacher, teaching style, and course chosen - because every learner is different. We'll tell you the exact cost after your free trial class, when you know what fits best.

🔓

Full Flexibility, Always

Life happens. If your needs change after any month, you have complete freedom to adjust. We'd love for you to stay - but we'll never make you feel stuck.

Why don't we show fixed prices? Because we don't believe in one-size-fits-all. Different teachers bring different expertise, teaching methods, and experience - and that's reflected in how we price. The best way to find your fit is to take the free trial lesson first, meet your instructor, and then decide. Pricing is shared after the trial - transparently, with no pressure.

Start for free - no card required

Book Your Free Trial Lesson

No commitment. No pressure. Pricing shared after the trial lesson.

Why ItsMyBot

What Will Your Child Create?

Recommendation Engine
Semantic Search Platform
AI Research Assistant
Knowledge Base Chatbot
Memory-Powered AI Assistant
Autonomous Research Agent
Multi-Agent AI Team
AI Tutor with Memory
Enterprise AI Application
Multi-Agent Startup Builder
BBC News Classifier
Capstone: AI Innovation Lab
Note: Projects may vary based on the student's pace, interests, and instructor-led personalisation.
Why This Course?

What Your Child Actually Gains

Analytical Thinking
Students strengthen analytical thinking, computational thinking, problem-solving skills, mathematical reasoning, and logical decision making.
Research & Independent Learning
Students develop research and investigation skills, creativity and innovation, systems thinking, and independent learning habits.
Skills That Remain Relevant
Through project-based learning, students gain confidence tackling complex challenges while developing skills that will remain relevant for decades to come.
Creativity & Innovation
Students transform from AI users into AI creators — understanding, designing, and building intelligent systems rather than simply consuming them.
AI Portfolio
Students complete the program with practical experience building intelligent assistants, recommendation engines, semantic search systems, RAG applications, and autonomous AI agents.
Course Curriculum

36 Structured Sessions + Assessment

65 Hours of live instruction + 5–8 Hours Assessment. Each session builds on the last.

Session 1 to 4

Session 1: Introduction to Artificial Intelligence & Machine Learning

  • Evolution of AI
  • AI vs Traditional Programming
  • Types of AI Systems
  • Real-world AI Applications
  • Understanding Intelligence in Machines
  • AI Career Pathways
  • First Machine Learning Experience
  • AI Explorer Project

Session 2: Machine Learning Framework

  • Supervised Learning
  • Unsupervised Learning
  • Reinforcement Learning
  • Features and Labels
  • Recommendation Systems
  • Machine Learning Lifecycle
  • Understanding Predictions
  • YouTube Recommendation Engine

Session 3: Developing Machine Learning Solutions

  • Problem Definition
  • Data Collection
  • Feature Engineering
  • Training, Validation & Testing
  • Model Evaluation
  • Hyperparameter Tuning
  • Underfitting & Overfitting
  • Predictive Analytics Project

Session 4: AI Development Environment

  • Jupyter Notebook
  • Conda Environments
  • AI Development Workflow
  • Common AI Libraries
  • Reproducible Experiments
  • Git for AI Projects
  • Collaborative Development
  • AI Workspace Setup


Session 5 to 12

Session 5: Introduction to Natural Language Processing

  • What is NLP?
  • Language Understanding Challenges
  • NLP Applications
  • Search Engines
  • Chatbots
  • Recommendation Systems
  • Modern NLP Pipeline
  • NLP Explorer Project

Session 6: Text Preprocessing

  • Text Cleaning
  • Tokenization
  • Corpus and Vocabulary
  • Stopword Removal
  • Sentence Processing
  • NLP Pipelines
  • Language Preparation
  • Text Processing Toolkit

Session 7: Linguistic Analysis

  • Part-of-Speech Tagging
  • NLTK Toolkit
  • Named Entity Recognition
  • Information Extraction
  • Grammar Analysis
  • Language Structure
  • Entity Detection Systems
  • News Analyzer Project

Session 8: Stemming & Lemmatization

  • Word Normalization
  • Stemming Algorithms
  • Lemmatization
  • POS-based Lemmatization
  • Language Simplification
  • Data Cleaning Pipelines
  • NLP Optimization
  • Smart Text Cleaner

Session 9: Vector Models for Language

  • Why Machines Need Numbers
  • Bag of Words
  • Count Vectorization
  • Sparse Representations
  • Feature Engineering
  • Vocabulary Construction
  • Language Representation
  • Text Vectorizer Project

Session 10: TF-IDF & Similarity

  • Term Frequency
  • Inverse Document Frequency
  • Vector Similarity
  • Distance Metrics
  • Cosine Similarity
  • Semantic Search Concepts
  • Information Retrieval
  • Search Engine Project

Session 11: Language Models & N-Grams

  • Unigrams
  • Bigrams
  • Trigrams
  • Statistical Language Models
  • Markov Models
  • Predictive Text
  • Context-Based Predictions
  • Predictive Text Generator

Session 12: NLP Classification Systems

  • Text Classification
  • Naive Bayes
  • Spam Detection
  • Sentiment Analysis
  • Document Categorization
  • Evaluation Metrics
  • Classification Pipelines
  • BBC News Classifier




Session 13 to 17

Session 13: Neural Networks Fundamentals

  • Biological vs Artificial Neurons
  • Neural Networks
  • Deep Learning
  • Cost Functions
  • Gradient Descent
  • Learning Rate
  • Model Training
  • Neural Sentiment Analyzer

Session 14: Sequence Understanding

  • Why Word Order Matters
  • Bag-of-Words Limitations
  • Sequence Learning
  • Language Context
  • Sequential Data
  • TensorFlow Introduction
  • Neural NLP Foundations
  • Sequence Analysis Project

Session 15: Neural Word Embeddings

  • Dense vs Sparse Representations
  • Semantic Meaning
  • Distributed Representations
  • Context-Based Learning
  • Embedding Spaces
  • Similarity Learning
  • Embedding Visualization
  • Word Relationship Explorer

Session 16: Word2Vec & GloVe

  • CBOW
  • Skip-Gram
  • Negative Sampling
  • Context Windows
  • Co-occurrence Statistics
  • Global Word Relationships
  • Word Similarity Systems
  • Semantic Search Engine

Session 17: CNNs for Text Intelligence

  • Convolution Concepts
  • Filters and Kernels
  • Feature Detection
  • Text Classification with CNNs
  • Pooling Layers
  • CNN Architectures
  • Classification Systems
  • BBC News CNN Classifier



Session 18 to 23

Session 18: Recurrent Neural Networks

  • Sequential Processing
  • Hidden States
  • Memory in Neural Networks
  • Language Modelling
  • Sequence Prediction
  • Context Retention
  • RNN Applications
  • Sequence Predictor Project

Session 19: Long Short-Term Memory Networks

  • Vanishing Gradient Problem
  • Long-Term Dependencies
  • LSTM Architecture
  • Memory Cells
  • Gates and State Management
  • Sequence Understanding
  • LSTM Applications
  • Text Generator Project

Session 20: Attention Mechanisms

  • Why Attention Changed NLP
  • Context Awareness
  • Word Relationships
  • Long-Range Dependencies
  • Attention Scores
  • Sequence Understanding
  • AI Reading Comprehension
  • Attention Visualizer

Session 21: Introduction to Transformers

  • Transformer Architecture
  • Parallel Processing
  • Tokenization
  • Positional Encoding
  • Self-Attention
  • Encoder & Decoder Models
  • Why Transformers Win
  • Transformer Explorer

Session 22: BERT & Pretrained Models

  • Pretraining
  • Masked Language Modelling
  • Bidirectional Context
  • Transfer Learning
  • Fine-Tuning Concepts
  • Classification Tasks
  • Real-World NLP Systems
  • BERT Text Classifier

Session 23: GPT & Generative AI

  • Decoder-Only Models
  • Next Token Prediction
  • Text Generation
  • Generative AI Systems
  • LLM Foundations
  • ChatGPT Architecture Concepts
  • Responsible AI
  • GPT Text Generator



Session 24 to 29

Session 24: Prompt Engineering

  • Zero-Shot Prompting
  • One-Shot Prompting
  • Few-Shot Prompting
  • Role-Based Prompting
  • Chain-of-Thought Prompting
  • Prompt Optimization
  • Real-World Applications
  • Prompt Engineering Lab

Session 25: LLM APIs & AI Applications

  • AI APIs
  • Model Integration
  • OpenAI Concepts
  • Anthropic Concepts
  • Building AI Applications
  • API Workflows
  • Production AI Systems
  • AI Assistant Project

Session 26: Embeddings & Vector Databases

  • Embedding Models
  • Semantic Similarity
  • Vector Databases
  • Pinecone
  • ChromaDB
  • Qdrant
  • Retrieval Systems
  • Semantic Search Platform

Session 27: FAISS & Similarity Search

  • Vector Indexing
  • Similarity Search
  • Nearest Neighbours
  • Search Optimization
  • Retrieval Pipelines
  • Information Retrieval
  • Enterprise Search
  • FAISS Search Engine

Session 28: Retrieval-Augmented Generation (RAG)

  • Why RAG Exists
  • Retrieval Workflows
  • Knowledge Grounding
  • AI Hallucinations
  • Retrieval Pipelines
  • LLM Integration
  • Enterprise AI Systems
  • AI Knowledge Assistant

Session 29: Advanced RAG Systems

  • Chunking Strategies
  • Sliding Window Retrieval
  • Semantic Chunking
  • Reranking
  • Retrieval Optimization
  • Knowledge Management
  • Production RAG Design
  • Notes Search System



Session 30 to 35

Session 30: Introduction to Agentic AI

  • What Makes an AI Agent?
  • Tool Use vs Chatbots
  • Agent Architectures
  • Agent Decision Making
  • Modern AI Systems
  • Agentic Workflows
  • AI Autonomy
  • Calculator Agent Project

Session 31: Tool Calling & Multi-Tool Agents

  • Tool Selection
  • Function Calling
  • Agent Routing
  • Tool Execution
  • Decision Logic
  • API Integration
  • AI Assistant Design
  • Multi-Tool AI Agent

Session 32: Memory in AI Systems

  • Short-Term Memory
  • Long-Term Memory
  • Semantic Memory
  • Episodic Memory
  • Personalization
  • Memory Retrieval
  • Context Management
  • Memory Agent

Session 33: Planning Agents

  • Goal-Based AI
  • Task Decomposition
  • Planning Loops
  • Constraint Handling
  • Roadmap Generation
  • Agent Workflows
  • Decision Trees
  • Study Planner Agent

Session 34: ReAct Agents (Reason + Act)

  • ReAct Framework
  • Thought → Action → Observation
  • Multi-Step Reasoning
  • Research Agents
  • Evidence Gathering
  • Reflection Loops
  • Intelligent Decision Making
  • Research ReAct Agent

Session 35: Multi-Agent Systems & Orchestration

  • Multi-Agent Architectures
  • Specialized AI Teams
  • Agent Collaboration
  • Sequential Workflows
  • CrewAI
  • LangGraph
  • Agent Orchestration
  • AI Startup Team Project



Session 36: AI Innovation Lab

Students design, build, test, and present an industry-inspired AI solution using technologies learned throughout the course.

 Capstone projects:

  • AI Research Assistant
  • Multi-Agent Startup Builder
  • Career Coach Agent
  • AI Study Coach
  • Knowledge Base Assistant
  • Enterprise Search Platform
  • AI Tutor with Memory
  • Recommendation System
  • Multi-Agent Business Consultant
  • Personalized Learning Assistant
Download Full Module Breakdown (PDF)
GO BEYOND AI TOOLS

Understand How AI Works, Not Just How to Use It

Most AI courses focus on using tools like ChatGPT. This program helps students understand the technology behind modern AI, building the knowledge to become confident AI creators rather than just users.

How Machines Learn

Supervised & unsupervised learning, recommendation engines, data analysis & visualisation, model training & optimisation, predictive analytics.

How AI Understands Human Language

Text processing & tokenisation, named entity recognition, semantic search, TF-IDF & vectorisation, sentiment analysis, language classification, information retrieval.

How Search Engines Retrieve Information

Embeddings, vector databases, semantic search, knowledge retrieval, RAG pipelines, document intelligence, enterprise AI systems.

How Language Models Generate Responses

RNNs & LSTMs, attention mechanisms, transformer architecture, self-attention, BERT & GPT models, fine-tuning & pretraining, large language models.

How AI Agents Use Tools

Tool calling, function calling, AI memory systems, ReAct framework, planning & reasoning agents, workflow automation to build intelligent autonomous systems.

How Modern AI Products Are Built

Multi-agent collaboration, LangGraph, CrewAI, agent orchestration — students build intelligent systems capable of performing tasks with increasing autonomy.
Book My Free Demo Class
AI LEARNING STACK

Technologies Students Master 🏆

Students explore the full modern AI stack from core machine learning to advanced agentic and multi-agent systems.
🤖 Machine Learning
🧬 Deep Learning
⚡ Transformers
🧠 Neural Networks
📝 Natural Language Processing
🔤 BERT & GPT Concepts
💡 Prompt Engineering
🗄️ Vector Databases
🔍 Semantic Search
📦 RAG Pipelines
🏭 Production AI Development
👥 Multi-Agent Systems
🕸️ LangGraph
⚙️ CrewAI
🔥 TensorFlow
🤝 AI Agents
WHY CHOOSE

Why Parents Choose Advanced AI

Parents choose this program because it develops far more than coding skills.
Students strengthen:
Analytical Thinking
Computational Thinking
Problem-Solving Skills
Mathematical Reasoning
Research & Investigation Skills
Logical Decision Making
Creativity & Innovation
Systems Thinking
Independent Learning Habits
The Outcome

Skills That Will Remain Relevant for Decades to Come

Through project-based learning, students gain confidence tackling complex challenges while developing skills that will remain relevant for decades to come.
This program gives students a unique opportunity to understand the technologies powering ChatGPT, Claude, Gemini, Perplexity, Netflix recommendations, intelligent search engines, autonomous assistants, and next-generation AI systems.
Instead of treating AI as a black box, students learn how intelligent systems are designed, trained, deployed, and improved.
THE ITSMYBOT ADVANTAGE

Why Parents Love Our Programs

Every child learns differently. That's why we combine exceptional educators, personalised guidance, and continuous progress tracking to create a learning experience parents can trust and children enjoy.
Highly Selected Instructors
Highly selected instructors focused on creativity and engagement, chosen for their ability to make complex AI concepts accessible and exciting.
Personalized Live Classes
Personalised live classes tailored to each child's learning pace. Every session is adapted to ensure understanding before moving forward.
Progress Reports & Parent Updates
Progress reports and regular parent updates after every session, so you always know what your child is learning and how they're developing.
Flexible Scheduling Options
Flexible scheduling including evenings and weekends, designed to fit around your family's routine without disruption.
Project-Based Learning
Project-based learning designed to keep children motivated and confident. Every session ends with a real AI system students have built themselves.
Safe & Encouraging Learning Environment
A safe, encouraging learning environment that supports creativity and innovation — where making mistakes is part of the learning process.
Book a FREE Trial Class
Simple start

How it works

3 Easy Steps to Get Started:

1

Book a free trial

Fill in the form. An academic counsellor will schedule a free session and assess your child's current level and interests.
2

Get a personalised roadmap

Based on the trial, counsellors build a custom learning path — right pace, right projects, right instructor for your child.
3

Build, learn, and earn

Live sessions, progress reports after every class, parent feedback calls, and a certificate on completion. Your child keeps all their projects.
faqs

Get to Know Us Better

It's the most advanced program in the Senior Coder pathway (Level 3). Across 65 live hours, your child learns the technology behind ChatGPT, Claude, and Gemini — from machine learning to LLMs and autonomous AI agents.

Yes. This program is for students who've completed Senior Coder Level 2 or have solid Python and AI foundations, since it dives deep into advanced concepts.

Yes — that's the heart of this program. Your child learns how ChatGPT, Claude, Gemini, and modern AI agents actually work, moving from AI user to genuine AI creator.

Your child works through Machine Learning, NLP, Neural Networks, Transformers, BERT, GPT, Prompt Engineering, Vector Databases, RAG, and Agentic AI — with tools like TensorFlow, Hugging Face, and LangGraph.

Real AI systems — recommendation engines, semantic search platforms, RAG knowledge assistants, autonomous research agents, multi-agent AI teams, and a full capstone AI Innovation Lab.

Most AI courses stop at basic ML or just teach students to use ChatGPT. This program teaches your child how modern AI is designed, trained, and built — they understand it, not just use it.

It's 65 hours of live instruction plus 5–8 hours of assessment, across 36 structured sessions, each ending in a real AI project.

Yes — 100% live and one-on-one with a dedicated instructor. Your child learns in real time, asks questions freely, and follows a flexible schedule that fits around school and family. Nothing is pre-recorded.

Yes! Your child earns a Certificate of Completion along with a portfolio of advanced, production-grade AI projects.

Your child leaves with real experience across ML, NLP, deep learning, transformers, RAG, and multi-agent systems — genuine, advanced AI skills for university and beyond.

Yes. Book a free trial, and a counsellor will confirm your child is ready for this advanced program before recommending next steps.
testimonials

Trusted by Parents like You!

I was extremely happy with the teacher and her approach to my daughter, like a close family teacher.
By Canavady
Rated 5/5
My daughter, Rishika is thoroughly enjoying the learning experience at ItsMyBot.

Ms. Poornima is teaching the program very well, at the right pace, making sure Rishika understands the concepts well. During the feedback session, she provided the details of Rishika’s strengths and areas of improvement giving me the confidence that she is well aware of how to guide her holistically.

The daily class reports and feedback gives a clear understanding of the progress in each class.

I also appreciate the excellent coordination, hassle free class scheduling and timely response to queries by Sandhya.

I would definitely recommend ItsMyBot to my friends and family.
By rehana
Rated 5/5
Enrolling my son in classes in September has been a great decision. The trial class helped us identify his interests, and Ms. Jiya's engaging approach has made learning enjoyable. I appreciate her encouragement for my son to draw and write, recognizing it as a positive habit for his development.

The flexibility of classes is a significant advantage, accommodating our unpredictable schedule. Ms. Jiya's understanding and willingness to reschedule when needed make the learning process enjoyable for both my son and us as parents.

I'm grateful for the positive environment Ms. Jiya creates, and we look forward to more enjoyable learning experiences. Kudos to the iTSMYBOT team for their exceptional responsiveness and clear lesson reports, contributing to a smooth and enriching educational journey for our son.
By Dimple Jain
Rated 5/5

Rated 4.7 out of 5 based on  65 reviews on Trustpilot

More Happy Parent Reviews
🚀 Hurry! Reserve Your FREE Trial Class Seat Today

Ready To Begin The Advanced
AI Engineering Journey?

This is not just an AI course. It is a complete journey from Machine Learning to Large Language Models, Retrieval-Augmented Generation, and Agentic AI.
Book a FREE Trial Class

Blogs you might like

An young boy pointing his hand upward with STEM Education Is Important To Kids? written in it

Why STEM Learning Is Essential for Kids Today

Poornima Sasidharan​ October 4, 2021 No Comments
STEM (Science, Technology, Engineering, and Mathematics) education goes beyond textbooks and classrooms. It’s an innovative way of learning that empowers kids to solve problems, think critically, and understand the world…
Read more
Four diverse children gathered excitedly around a laptop and a tablet displaying block-based coding software.

Top 10 Coding Programs For Kids In 2026

Poornima Sasidharan​ October 6, 2021 No Comments
Last Updated: April 20, 2026 The digital revolution continues to reshape how children learn and interact with technology. As we move into 2026, coding is no longer viewed as an…
Read more
Laptop screen showing how to code

How do you SPELL CODE?

Poornima Sasidharan​ November 3, 2021 No Comments
Years later, I decided to return to teaching. The landscape of education has transformed drastically; now, you can teach and learn virtually anything online. I remember a time when using…
Read more
vector image showing elements related to coding & having Best 7 Coding Languages for Game Developers written in it

Best 7 Coding Languages For Game Developers

Poornima Sasidharan​ February 3, 2022 No Comments
The interactive escapades that delight millions across the globe are the fruit of masterful game development, and at the heart of this technological art sits the cornerstone of coding. With…
Read more
ItsMyBot
Empowering children with the right skills today enables them to drive innovation tomorrow. Join us on this exciting journey, and let's unlock the boundless potential within every child.

Company

About Us Career @ ItsMyBot Contact Us

Follow us

Explore

Little Coder Junior Coder Senior Coder About us Projects Robotics Courses Blog Locations

Best Selling Courses

Coding Classes Full Stack Development Course IoT Classes Python Programming Classes Data Science Classes Robotics Classes JavaScript Classes Website Design Course AI & Machine Learning Classes Mobile App Development Course

Connect

  • 331 Jade Ct, San Ramon, CA 94582, USA
© ItsMyBot 2026. All Rights Reserved.
Privacy Policy Terms of Service