Master Generative AI Development From Zero to Hero
Comprehensive training from Python fundamentals to building advanced AI agents. Become a Generative AI expert in just 24 weeks. Limited seats available!
230+ successful students
Why This Isn't Just Another AI Course
Forget theoretical courses that leave you unable to build real AI applications. Our program is designed by industry experts who know what employers are looking for.
Project-Based Learning
Build 15+ real-world AI projects including a full-stack AI SaaS app that you can add to your portfolio.
Live Interactive Sessions
Weekly live sessions with AI experts where you can ask questions, solve problems, and get personalized guidance.
Cutting-Edge Curriculum
From Python fundamentals to building complex AI agents, our curriculum is continuously updated with the latest advancements.
100+
Hours of Content
15+
Real-World Projects
24/7
Mentor Support
95%
Job Placement Rate
Course Structure
- 24 weeks of intensive training
- 2 live sessions per week (4 hours total)
- 24/7 access to learning materials
- Weekly assignments & coding challenges
- 1-on-1 mentorship sessions
You'll Learn How To
- Build custom LLM-powered applications
- Create AI agents that automate complex tasks
- Generate images, audio, and video with AI
- Fine-tune models for specific use cases
- Deploy AI systems to production
Next Cohort Starts: June 15, 2024
Only 12 seats remaining. Applications close in:
Industry-Ready Generative AI Skills
Master cutting-edge AI technologies that are revolutionizing industries worldwide. Our curriculum is designed to make you job-ready from day one.
Advanced LLM Applications
Learn to build sophisticated applications powered by GPT, Claude, and other state-of-the-art language models.
AI Agents & Automation
Design and implement AI agents that can perform complex tasks, make decisions, and automate business processes.
Multimodal AI Generation
Master the techniques for generating images, audio, and video using cutting-edge generative AI models.
Tools & Languages You'll Master
Our curriculum covers all the essential tools and languages used by professional AI developers. You'll gain hands-on experience with:
Python
TensorFlow
PyTorch
OpenAI APIs
Pinecone
NumPy
Pandas
MatplotlibTop Skills You'll Develop
Advanced AI Model Integration
Learn to integrate state-of-the-art AI models into real-world applications and production systems.
LLM Fine-tuning & Optimization
Master techniques to fine-tune large language models for specific domains and optimize them for performance.
AI Application Architecture
Design scalable, maintainable AI application architectures that can handle real-world usage patterns.
Data Processing & Engineering
Build robust data processing pipelines that prepare and optimize data for AI model training and inference.
Production Deployment
Deploy AI systems to production environments, ensuring reliability, scalability, and cost optimization.
Why Traditional AI Courses Fall Short
Most AI courses leave you with theoretical knowledge but unprepared for real-world challenges. Here's how our program solves these common problems:
Too Much Theory, Not Enough Practice
Many courses overwhelm you with mathematical concepts without showing how to apply them in real projects.
Hands-On Project-Based Learning
Every concept is immediately applied in real-world projects that you can add to your portfolio to impress employers.
Outdated Content
AI evolves rapidly, but most courses teach technologies that are already obsolete by the time you finish.
Continuously Updated Curriculum
Our curriculum is updated monthly to include the latest AI advancements, ensuring you learn the most current technologies.
No Personalized Support
Most online courses leave you to figure out difficult concepts on your own, leading to frustration and giving up.
1-on-1 Mentorship & Community
Get direct access to experienced AI developers who will guide you through challenges and provide personalized feedback.
Unrealistic Job Preparation
Many courses don't prepare you for the actual skills employers need, leaving you with knowledge that doesn't translate to job offers.
Career-Focused Training
Our curriculum is designed with input from hiring managers to ensure you develop the exact skills companies are looking for.
Comprehensive Course Modules
Our structured curriculum takes you from foundational concepts to advanced AI applications through 11 comprehensive modules.
Python & Data Science Fundamentals
Build a strong foundation in Python programming and essential data science libraries that power AI applications.
Python Programming
Variables, data types, control flow, functions, and object-oriented programming
NumPy & Pandas
Data manipulation, transformation, and analysis with NumPy arrays and Pandas DataFrames
Data Visualization
Creating informative visualizations with Matplotlib and Seaborn
Statistical Analysis
Descriptive statistics, hypothesis testing, and statistical modeling
Module Project:
Build a data analysis and visualization dashboard that processes and displays insights from real-world datasets.
Machine Learning Essentials
Master foundational machine learning algorithms and techniques that serve as building blocks for advanced AI systems.
Supervised Learning
Linear regression, logistic regression, decision trees, and random forests
Unsupervised Learning
Clustering, dimensionality reduction, and anomaly detection
Model Evaluation
Performance metrics, cross-validation, and hyperparameter tuning
Feature Engineering
Techniques for creating, transforming, and selecting features
Module Project:
Develop a machine learning pipeline to solve a real-world prediction problem using industry-standard tools and practices.
Deep Learning Foundations
Understand the core principles of neural networks and implement different architectures for various applications.
Neural Network Basics
Neurons, activation functions, backpropagation, and gradient descent
Convolutional Neural Networks (CNN)
Architectures for image recognition and computer vision tasks
Recurrent Neural Networks (RNN)
LSTM and GRU for sequence modeling and time series analysis
Training Deep Networks
Regularization, optimization algorithms, and avoiding overfitting
Module Project:
Build and deploy an image classification system using CNNs and a text generation model using RNNs.
Neural Networks, Transformers & Attention Mechanisms
Dive deep into the architecture that powers modern language models and learn how to implement attention-based systems.
Attention Mechanisms
Self-attention, multi-head attention, and attention visualization
Transformer Architecture
Encoder-decoder structures, positional encoding, and feed-forward networks
BERT & Pre-training
Masked language modeling, next sentence prediction, and transfer learning
Applications
Text classification, named entity recognition, and question answering
Module Project:
Implement a transformer-based model for a natural language understanding task and visualize attention patterns.
Generative Models: GANs, VAEs & Diffusion Models
Master different architectures for generating new content and understand the mathematics behind generative models.
Generative Adversarial Networks
GAN architecture, training dynamics, and variants (DCGAN, StyleGAN)
Variational Autoencoders
Encoder-decoder structure, latent space, and reparameterization trick
Diffusion Models
Diffusion process, denoising, and stable diffusion architecture
Applications
Image synthesis, style transfer, and domain adaptation
Module Project:
Create an image generation system using diffusion models that can produce high-quality images from text prompts.
Large Language Models: GPT, Claude, Gemini & Mistral
Understand how large language models work and learn to effectively use them in applications through APIs.
LLM Architecture & Scaling
Model architecture, parameter scaling, and emergent abilities
API Integration
Working with OpenAI, Anthropic, Google, and Mistral APIs
Model Selection
Comparing models for different tasks, cost optimization
Limitations & Capabilities
Understanding hallucination, bias, and ethical considerations
Module Project:
Develop a multi-model system that selects the optimal LLM for different tasks based on performance and cost considerations.
Prompt Engineering & Fine-Tuning with LangChain & Hugging Face
Master the art of crafting effective prompts and learn techniques for adapting models to specific tasks.
Prompt Engineering Techniques
Zero-shot, few-shot, chain-of-thought, and ReAct prompting
LangChain Framework
Chains, agents, tools, and memory mechanisms
Fine-tuning Methods
Full fine-tuning, LoRA, QLoRA, and parameter-efficient tuning
Hugging Face Ecosystem
Model Hub, Transformers library, and fine-tuning workflows
Module Project:
Fine-tune a language model for a specialized task using LoRA and deploy it as an API.
Vector Databases & Retrieval-Augmented Generation (RAG)
Learn to enhance LLM capabilities by incorporating external knowledge through vector search and retrieval systems.
Text Embeddings
Creating vector representations of text and semantic similarity
Vector Databases
Pinecone, Weaviate, Chroma, and vector search optimization
RAG Systems
Document processing, chunking strategies, and context injection
Advanced RAG Techniques
Hypothetical Document Embeddings, Reranking, and Multi-query RAG
Module Project:
Build a document QA system that can accurately answer questions from a large corpus of specialized documents.
Multimodal AI: Text-to-Image, Audio & Video Generation
Expand beyond text to work with multiple modalities and create systems that can generate various media types.
Text-to-Image Models
DALL-E, Midjourney, Stable Diffusion, and image generation techniques
Audio Generation
Text-to-speech, voice cloning, and music generation
Video Generation
Text-to-video, image-to-video, and video editing techniques
Multimodal Applications
Building applications that combine text, image, audio, and video
Module Project:
Develop a multimodal content creation platform that can generate images, audio, and short videos from text prompts.
AI Agents, LangGraph, CrewAI & Automation Systems
Create intelligent agent systems that can perform complex tasks, reason, and collaborate to solve problems.
Agent Architecture
Planning, reasoning, and action execution in AI agents
LangGraph Framework
Building stateful, complex workflows with LangGraph
Multi-Agent Systems
CrewAI for collaborative agent systems and role-based teams
Business Process Automation
Identifying automation opportunities and implementing AI solutions
Module Project:
Build a multi-agent system that can autonomously research, analyze, and produce reports on complex business problems.
Communication, Interview Preparation & Career Development
Prepare for AI developer roles with technical interview practice and learn to communicate complex AI concepts effectively.
Technical Communication
Explaining complex AI concepts to technical and non-technical audiences
Portfolio Development
Creating an impressive portfolio of AI projects and presentations
Technical Interviews
Practice with common AI engineering interview questions and challenges
Career Development
Job search strategies, salary negotiation, and career progression in AI
Module Project:
Complete a mock interview process, create a professional portfolio, and develop a personalized career advancement plan.
Success Stories
Hear from our graduates who transformed their careers through our Generative AI program.
"After 10 years as a software developer, I was looking to specialize in AI. This course provided exactly what I needed - practical, hands-on training with cutting-edge technologies. Within a month of completing the program, I landed a role as an AI Engineer with a 40% salary increase."
Amit Singh
Software Engineer → AI Engineer at Acme AI
"I had no programming background, just a strong interest in AI. The course starts from the basics and builds progressively. The project-based approach meant I had a portfolio of real applications by the end. Now I work as a prompt engineer at a startup, a job I couldn't have imagined before."
Shweta
Marketing Manager → Prompt Engineer at TechVision
"The most valuable aspect of this course was the mentorship. Having an experienced AI developer review my code and projects gave me insights I wouldn't have gained otherwise. The AI agents module completely changed how I think about software architecture. Worth every penny!"
Priya Sharma
Data Analyst → AI Solutions Architect at GlobalTech
Job Placement Success
95%
Job placement rate within 3 months
₹17L
Average starting salary after program
130+
Partner companies hiring our graduates
Common Questions
Everything you need to know before joining our Generative AI program.
Do I need programming experience?
No prior programming experience is required. We start with Python fundamentals and gradually build your skills. However, having some basic familiarity with programming concepts will help you progress faster in the early modules.
How much time should I commit weekly?
We recommend dedicating at least 10-15 hours per week to the course. This includes 4 hours of live sessions and 6-11 hours of self-paced learning, assignments, and projects. The more time you invest, the more you'll benefit.
What if I miss a live session?
All live sessions are recorded and made available in your student portal within 24 hours. You can watch them at your convenience and still ask questions through our community platform. We recommend attending live when possible for the best experience.
What kind of computer do I need?
A modern laptop or desktop with at least 8GB RAM (16GB recommended) and a stable internet connection. Most exercises will use cloud-based resources, so you don't need a high-end GPU. We provide detailed setup instructions before the course begins.
Will I get a certificate?
Yes, upon successful completion of the program, you'll receive a verified certificate. More importantly, you'll have a portfolio of projects that demonstrate your skills to potential employers, which is far more valuable than any certificate.
Are there payment plans available?
Yes, we offer flexible payment options including monthly installments. During your application call, our admissions team will help you choose the best option for your situation.
Still have questions?
Our admissions team is here to help. Schedule a 1-on-1 call to discuss your specific situation and goals.
Our Career Success Guarantee
Our Career Guarantee
Our commitment doesn’t stop at the classroom. You’ll get unlimited mock interviews, resume workshops, and 1:1 mentorship sessions until you land a role you’re proud of.
Job Placement Assistance
Direct connections to hiring partners and personalized job search support
Extended Internship/Live Project
We’ll ensure you gain real-world experience through extended internships, live projects, and freelance opportunities with our industry partners
Lifetime Access to Materials
Continuous learning with lifetime access to course content and updates
"We make this guarantee because we've designed our curriculum based on what employers actually need. Our students consistently get hired because they have the practical skills that companies are looking for."
Dr. Rajiv Mehta
Program Director
Ready to Transform Your Career?
Fill out the application form below to start your journey to becoming a Generative AI expert. Limited spots available for our next cohort starting June 15, 2024.
Course Details
Duration
24 weeks, 4 hours of live sessions per week
Investment
₹59,999 (or ₹6,499/month with our payment plan)
Requirements
No prior programming experience required, just a desire to learn
Format
Online live classes, hands-on projects, 1-on-1 mentorship
Limited Time Offer
Apply before Month End and get these bonuses:
- ₹10,000 early-bird discount
- Free access to our AI Tools Mastery course (worth ₹15,000)
- Priority assignment review and feedback
Meet Your Expert Instructors
Learn from experienced AI practitioners who have built real-world solutions for leading companies.
About Analytics Circle
Analytics Circle is a premier institute dedicated to training the next generation of data professionals. With a focus on practical, industry-relevant skills, we've helped over 5,000 students transform their careers.
5,000+
Graduates
95%
Job Placement
9.2/10
Student Satisfaction
130+
Corporate Partners
Based on 487 reviews
Based on 652 reviews
Based on 329 reviews
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