Become a job-ready Generative AI engineer.
Build your own LLM-powered and agentic AI applications — starting from Python basics and finishing with end-to-end projects deployed on AWS, Azure and GCP.
Free demo · no credit card required · no prior coding experience needed
▶ Watch the course introduction
Your trainer has delivered 45+ corporate programs for teams at
Everything you need to build — and ship — GenAI apps.
Master 7+ large language models
Hands-on with the models companies actually use — so you can build any GenAI app.
Capstone projects
End-to-end, industry-level projects for your portfolio.
Build AI agents that automate tasks
Work with the leading agentic AI frameworks and protocols.
Deploy on AWS, Azure & GCP
Take LLM and agentic applications from notebook to the cloud, with monitoring.
Source code downloads
Weekly live Zoom Q&A
Saturday sessions plus new lectures on the latest trends.
4 internship certificates
Plus a course completion certificate, lifetime access and a private community.
From zero to agentic AI, step by step.
Everything is covered from the basics — each module builds on the last.
20 modules. 140+ topics.
- What is Python
- Identifiers and Keywords in Python
- Data Types & Type casting
- Basic Operation and Operator in Python
- Operators in Python
- Indentation, Statements and Comment
- Data Structures in Python — Array, String, Lists, Tuples, Set and Dictionaries
- Conditional statements in Python
- Loops in Python
- Function in Python
- Lambda functions
- Classes and OOPs concept
- Regular expression
- File handling
- Exception handling
- Command line Arguments
- Handling Date and Time
- Introduction to Data Science
- Types of Data
- Data Science Lifecycle
- Checking the quality of data
- Exploratory data analysis
- Feature Engineering
- Introduction to NLP
- Typical NLP Tasks
- Text data preprocessing in Python
- What is Embedding
- Common Embedding model
- Word Embedding vs Sentence Embedding
- Introduction to Hugging Face
- Components of Hugging Face
- Various Application of Hugging face along with practical
- Using Hugging Face API for Model Inference
- Pushing Models to the Hub & Deploying in Spaces
- Introduction
- Real Life Applications of Deep Learning
- Difference between Machine learning and deep learning
- Challenges of Deep learning
- Architecture of Deep learning projects
- Various frameworks in deep learning
- Deep learning with TensorFlow
- Introduction to TensorFlow
- Artificial Neural network
- Introduction
- Backpropagation
- Weight and Bias
- Activation function
- Deep Neural Networks
- Implementation
- Convolution Neural Network
- Introduction
- Mathematics behind CNN
- Famous CNN Architectures
- Transfer Learning
- Implementation
- Recurrent Neural Network
- Introduction
- Application of RNN
- Problems with RNN
- Practical
- Introduction to Long short-term memory
- Practical
- Introduction to Seq2seq
- Practical
- Introduction to encoder and decoder
- Practical
- Attention Mechanism
- Practical
- Introduction to transformer and BERT
- Practical
- Introduction
- Types of Models (Foundational, Fine-Tuned, Base Models)
- Large Language Models (LLM)
- Small Language Models (SLM)
- Difference Between LLM and SLM
- Overview of Text, Image & Audio Generation Models
- Introduction to Prompt Engineering
- How to Write Effective Prompts
- Types of Prompting
- General Framework for Prompting
- Hands-on Practical Examples
- OpenAI GPT and Setup
- Learning About OpenAI Playground
- Google Gemini and Setup
- Google AI Playground
- Facebook Llama models
- Anthropic Claude and Setup
- Anthropic AI playground
- xAI (Grok) and Setup
- DeepSeek R1
- Introduction to Vector Databases
- Comparison with SQL and NoSQL Databases
- Types of Vector Databases
- Efficient Techniques for Fast Vector Retrieval
- Exploring Popular Vector Databases (ChromaDB, Faiss, Quadrant, Pinecone, Weaviate)
- Introduction to RAG
- Steps Involved in RAG Implementation
- Creating an End-to-End RAG System from Scratch using various AI models
- Learning about Query Transformation, RAG fusion and Decomposition
- Building a Multimodal RAG Application
- Introduction to LangChain
- Step-by-Step Approach
- Creating End-to-End LangChain Applications Using Various Data Sources
- Creating LLM Application using LangChain and various vector Databases framework
- Different Types of Conversations in LangChain.
- Implementation of OpenAI GPT with LangChain
- Implementation of Anthropic Claude with LangChain
- Implementation of Google Gemini with LangChain
- What is Fine-Tuning
- Various Fine-Tuning Techniques
- Advanced Fine-Tuning Methods
- Model Quantization Techniques (4-bit, 8-bit, 1-bit LLM Models)
- Practical Fine-Tuning Examples
- Deploying Models Using LangServe
- Monitoring the LLM model using LangSmith
- Model Security
- Types of Problem and their Mitigation
- Project
- Overview of LlamaIndex
- How to Use LlamaIndex for Efficient Data Indexing
- Integrating LlamaIndex with LLM Applications
- Running LLM Locally
- Learning About OLLAMA
- OLLAMA with LangChain
- Learning About LmStudio
- Hugging Face Model Downloader
- Introduction to AI Agents
- Various Frameworks for AI Agents
- Crew AI
- Phi Data
- LangGraph
- OpenAI Agents SDK
- SWARM
- Google Agent Development Kit
- Microsoft Autogen
- MCP Servers
- Projects related to MCP Server
- Google A2A Protocol
- Tips for Cost Optimization in LLM
- End to End LLM Application in AWS
- End to End Agentic Application in AWS
- End to End LLM Application in Azure
- End to End Agentic Application in Azure
Built for anyone ready to work with AI.
Abhishek Kumar Singh
Data Scientist · Consultant · Corporate Trainer
Over the last 8+ years, I've trained thousands of professionals and students across data science and Generative AI technologies.
I've delivered 45+ corporate training programs for leading organizations — and I bring the same practical, project-first approach to every batch.
Organizations trained
Technology stack
What GenAI learners say.
I had the opportunity to complete the Generate AI course conducted by Abhishek from Dataspoof, and I can confidently say it was one of the most valuable learning experiences I’ve had. Abhishek is exceptionally knowledgeable, helpful, punctual, and he brings an impressive level of enthusiasm and patience to his teaching. The course was thoroughly hands on, with a strong emphasis on the latest AI technologies, making the learning both relevant and practical. Abhishek has a remarkable ability to simplify complex concepts while ensuring each learner gains real world skills. I highly recommend Abhishek to anyone looking to build or strengthen their expertise in AI. His dedication to teaching and his commitment to student success truly set him apart.

I had the pleasure of learning from Abhishek Kumar Singh during a GenAI Training, and his teaching style is truly commendable. He has a unique ability to simplify complex AI/ML concepts, making foundational topics in Generative AI—like transformer models, embeddings, and LLMs—accessible and engaging. Abhishek is not only technically sound but also patient and thorough in his explanations, ensuring every learner feels included and confident. His hands-on approach and real-world examples made the sessions highly practical. Whether you’re just starting with GenAI or looking to deepen your understanding, Abhishek is the mentor you need. Highly recommended!

I’ve had the pleasure of learning from Abhishek Kumar Singh (Abhi), and I can confidently say he’s an exceptional Gen AI tutor. Abhi’s patience is unmatched—he takes the time to answer every question thoroughly, no matter how basic or complex, and always ensures I truly understand the concepts. His deep knowledge of Data Science and Generative AI tools shines through in every session. Whether it's breaking down intricate algorithms or walking through the latest AI frameworks, Abhi explains everything with clarity and precision. What makes him stand out even more is his calm, respectful, and encouraging demeanor—it creates a learning environment where curiosity is welcomed and growth is inevitable. If you're looking to upskill in Gen AI or Data Science, I highly recommend connecting with Abhi. He’s not just a tutor—he’s a mentor who genuinely cares about your learning journey.
I’ve had the privilege of learning from Abhishek, an exceptional GenAI tutor whose coaching has truly elevated my understanding of deep learning, generative AI models, and agentic AI. His ability to simplify complex concepts using relatable, real-life examples makes each session both enlightening and enjoyable. Whether he’s explaining attention mechanisms or the logic behind agentic workflows, Abhishek always breaks it down with clarity and patience

I am a master’s student. While I’m searching for Gen AI courses I found this course. I liked the way my instructor Abhi sir explained the topics in a simple way. I never felt anything perplexing while going throughout the course. Every topic is crisp and clear, not at all boring. Now I am confident enough to enter into this AI market.
Abhi sir has a remarkable ability to explain even the most complex concepts in a very detailed and easy-to-understand manner. He focuses on what truly matters—cutting out the unnecessary noise—and delivers the core ideas with clarity. His teaching approach is simple yet highly effective, making it easy for us to grasp the subject from the ground up. His own deep understanding of the topic reflects in the way he breaks things down. Learning Chain AI became incredibly smooth thanks to his guidance, and he supported us through every application of the subject.

I have taken Gen AI course here . Abhishek is really professional and explaining each detailed concepts . I will recommend to everyone who wants to start with Gen AI career please go ahead without second thought

One fee. Everything included.
The complete GenAI Career Bundle — four courses, projects, certificates and career support.
Complete program
Secure payment via Razorpay
Core learning
- 4 complete courses — Deep Learning, NLP, Generative AI, Agentic AI
- 5+ hands-on capstone projects
- Saturday live Zoom Q&A + new lectures on current trends
- 100+ source code downloads
Tools & models
- 5+ LLMs — OpenAI GPT, Gemini, Claude, Llama, DeepSeek and more
- 5 agentic AI frameworks — Agno, CrewAI, LangGraph, AutoGen, OpenAI Swarm
- Deployment on AWS & Microsoft Azure
Career boosters
- 4 internship certificates
- Interview Q&A PDF + soft-skills coaching
- Sample resumes & career support
- Lifetime private community · entrepreneurship program
Free bonuses included
Yours with every enrollment.
Many courses aren't application-based, interactive, hands-on or result-oriented. Our "application-based learning" approach fixes that. You also join a private technical community that builds technical skills, soft skills and mindset — and you'll receive the latest interview Q&A, job information and plenty of motivation.
We provide job announcements and guidance to help you land a job, including technical skills and soft skills.
Yes. The course is designed with beginners in mind and starts from the basics. Many of our learners had no prior coding experience.
Lifetime course validity, and lifetime access to the private community.
The training runs for 45 days.
Start your Generative AI journey now.
Join the program today, or book a free demo to see how the training works first.