GenAIGenerative AI & Agentic AI Training

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

45 daysProgram duration
5+End-to-end capstone projects
7+LLMs covered
20Curriculum modules
WeeklyLive Zoom Q&A
LifetimeCourse access
▶ Watch the course introduction

Your trainer has delivered 45+ corporate programs for teams at

  • Deloitte
  • GSK
  • Shell
  • Capgemini
  • MetLife
  • Truist
  • JPMorgan Chase
  • Wells Fargo
  • Elevance Health
  • Travel + Leisure
What you'll get

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.

OpenAI GPTGoogle GeminiAnthropic ClaudeMeta LlamaMistralDeepSeek R1xAI Grok
5+

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.

CrewAILangGraphAutoGenAgnoOpenAI Agents SDKGoogle ADKMCPA2A

Deploy on AWS, Azure & GCP

Take LLM and agentic applications from notebook to the cloud, with monitoring.

AWSMicrosoft AzureGoogle CloudLangServeLangSmith
100+

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.

Your learning path

From zero to agentic AI, step by step.

Everything is covered from the basics — each module builds on the last.

📊
Data Science basics01
🧠
NLP02
🤗
Hugging Face03
🔥
Deep Learning04
🎨
Generative AI05
🤖
Agentic AI06
Complete curriculum

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
No topics match your search.
Who it's for

Built for anyone ready to work with AI.

🎓
StudentsEspecially computer science students who want to learn Generative AI.
💼
Working professionalsFuture-proof your career with GenAI skills.
🎯
Job seekersGraduates aiming for roles at core tech companies.
🚀
Startups & small businessesIntegrate Generative AI into your products.
🎨
Freelancers & creatorsUse GenAI tools like ChatGPT, Midjourney and DALL·E.
🖌️
Designers & marketersExplore AI-assisted creativity tools.
👩‍🏫
Faculty & trainersUpskill in the latest GenAI advancements.
🏛️
Skilling programs & NGOsDigital literacy and AI inclusion initiatives.
No prior coding experience required — we start from Python basics.
Meet your trainer

Abhishek Kumar Singh

Data Scientist · Consultant · Corporate Trainer

8+ yrsData science, AI & big data
45+Corporate trainings delivered
Connect on LinkedIn

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

DeloitteGSKShellCapgeminiMetLifeTruistJP MorganSalesforceWells FargoElevance HealthFDICU.S. Department of EducationCFPBTravel + LeisureV-Guard

Technology stack

PythonRMachine LearningDeep LearningNLPHiveSparkMapReduceKafkaAirflowTableauPower BIAWSAzureGCPMLOpsGenerative AIAgentic AI
Learner stories

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.
AshuthoshVice president · Orient Insurance
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!
Venkatadri NaiduGenAI Engineer · Alight Solutions
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.
Sesidhar JillellamudiSE · Department of Education USA
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
Vimlesh MittalData Architect · FDIC
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.
Sri Ram NFull Stack Developer · CapitalOne
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.
Sampath KumarData Center Technician · CyrusOne
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
Prudhvee Raj KotiSenior data engineer · Mattel
Pricing

One fee. Everything included.

The complete GenAI Career Bundle — four courses, projects, certificates and career support.

GenAI Career Bundle

Complete program

$999one-time fee
Enroll now → Book a free demo first

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.

📅
Saturday live mastermind classWeekly, for 6 months
Worth ₹10,000
👥
Lifetime community accesshub.warriorsway
Worth ₹10,000
📘
Interview questions PDFCurated GenAI interview Q&A
Worth ₹5,000
🎤
Soft-skill coachingInterviews, communication, mindset
Worth ₹5,000
Certificate of completion Generative AI Training Awarded by DataSpoof
FAQ

Questions, answered.

Still unsure? Book a free demo and ask us directly.

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.

What are you waiting for?

Start your Generative AI journey now.

Join the program today, or book a free demo to see how the training works first.