Master AI, Machine Learning, NLP & Generative AI in 9 months.

Hands-on projects, expert mentorship, and job support included. Enroll today!

£2499

Why Choose This GenAI & ML Course?

Learn from the best, build real-world projects, and launch your AI/ML career with confidence.

Learn from Top Experts

Get trained by professionals from Google, OpenAI, and Microsoft with real-world AI experience.

Build 7+ GenAI Projects

Create full-stack projects using Machine Learning, Deep Learning, and Generative AI techniques.

Career-Ready Portfolio

Polish your resume, LinkedIn, and GitHub to stand out and showcase your AI/ML skills.

Master Industry Tools

Learn Python, Scikit-learn, HuggingFace, LangChain, and other cutting-edge AI libraries.

Latest in GenAI

Build chatbots, transformers, RAG pipelines, and generate AI-based images and text content.

100% Job Assistance

Mock interviews, referrals, and complete placement support to help you get hired.

Who Can Join This Course?

Whether you're starting out or switching careers, this program equips you with the AI & ML skills needed for success.

Graduates and Final Year Students

Graduates & Final-Year Students

From CS, IT, ECE, or Math streams? This is your launchpad into the world of AI & ML.

Software Engineers and Analysts

Engineers & Analysts

Upskill into AI/ML roles with advanced tools, real-world projects, and career support.

Career Switchers

Career Switchers

Coming from STEM, QA, Finance, or Business? Transition confidently into the AI industry.

Basic Python Learners

Self-Learners with Basics

Have basic Python skills and logical aptitude? Take the next big step into applied AI & GenAI.

9-Month Curriculum

Our structured learning path takes you from fundamentals to advanced Data Analysis concepts with practical applications.

Months 1–2: Python for AI & Data Handling

Week 1–2: Python Foundations

Week 3–4: APIs, Regex & File Handling

Week 5–6: NumPy & Pandas

Week 7–8: Version Control & Mini Project

Month 3: Math, Stats & ML Foundations

Week 9: Descriptive & Inferential Stats

Week 10: Probability & Bayes Theorem

Week 11: Linear Algebra for ML

Week 12: Gradient Descent

Month 4: Machine Learning – Supervised

Week 13: Regression Models

Week 14: Classification Models

Week 15: Pipelines + Model Evaluation

Week 16: Model Tuning

Month 5: Unsupervised ML + Deployment

Week 17: Clustering

Week 18: Dimensionality Reduction

Week 19: Recommender Systems

Week 20: Model Deployment

Month 6: Deep Learning with Keras/TensorFlow

Week 21: Neural Network Basics

Week 22: Optimizers & Regularization

Week 23: CNNs & Transfer Learning

Week 24: Project

Month 7: NLP Fundamentals

Week 25: Text Preprocessing

Week 26: Feature Extraction

Week 27: Sequence Modeling

Week 28: Attention & Project

Month 8: Generative AI & Transformers

Week 29: Transformers Architecture

Week 30: HuggingFace Transformers

Week 31: Prompt Engineering + OpenAI API

Week 32: LangChain + RAG

Month 9: Capstone + Career Prep

Week 33: Capstone Planning

Week 34: MVP Build

Week 35: Deployment & Portfolio

Week 36: Career Launch

Real-World Projects You'll Build

Apply your knowledge by building real-world AI, ML, and GenAI applications using industry tools and deployment techniques.

Credit Risk Prediction
Scikit-learn, Pandas
Resume Classifier + Flask UI
NLP + Flask
Retail Recommender Engine
KMeans + Streamlit
Text Sentiment & Intent Classifier
TF-IDF + LSTM
AI-Powered Chatbot (GenAI + RAG)
LangChain + OpenAI API + FAISS
Resume Screener with BERT
HuggingFace + Transformers
DL-Based Model Deployment
Keras + Streamlit + Docker
Capstone: End-to-End GenAI App
Your Choice + Cloud Deployment

Tools Covered

Master the top AI, ML, NLP, and GenAI tools used by leading developers and engineers

Python Python
Scikit-learn Scikit-learn
HuggingFace HuggingFace
LangChain LangChain
Flask Flask
Streamlit Streamlit
Docker Docker
Keras Keras
Jupyter Jupyter
GitHub GitHub
Git Git
Matplotlib Matplotlib

Portfolio Projects

A collection of 7+ projects for practice and building your professional portfolio

Beginner Projects
Credit Risk Prediction
Scikit-learn, Pandas
Resume Classifier + Flask UI
NLP + Flask
Intermediate Projects
Retail Recommender Engine
KMeans + Streamlit
Text Sentiment & Intent Classifier
TF-IDF + LSTM
Advanced Projects
AI-Powered Chatbot (GenAI + RAG)
LangChain + OpenAI API + FAISS
Resume Screener with BERT
HuggingFace + Transformers
DL-Based Model Deployment
Keras + Streamlit + Docker
Capstone: End-to-End GenAI App
Your Choice + Cloud Deployment

What’s Included

  • 75+ Live Expert Sessions
  • 7+ Industry-Ready Projects
  • GitHub Portfolio, LMS, Assignments
  • Resume, LinkedIn, Mock Interview Prep
  • Certificate of Completion
  • Job Support & Career Coaching

Pricing

Full Course Access

£2499

1:1 Mentorship

Add-on

Personalized guidance

+£199

Job Support Pack

Add-on

Career acceleration

+£299

What Our Learners Say

“Coming from a non-tech background, I found the GenAI modules super engaging. My final capstone on a resume screener helped me land an AI internship within 2 weeks of finishing!”
Ankita Sharma
Ankita Sharma, Delhi
“The HuggingFace and LangChain integration was a game changer. I built a chatbot on college FAQs and deployed it to Streamlit—it impressed my placement panel!”
Ravi Mehta
Ravi Mehta, Pune
“I was already working with Python, but this course added depth. Deploying ML models and learning RAG architecture using LangChain boosted my confidence immensely.”
Liam Harper
Liam Harper, London
“The resume and GitHub review alone were worth it. I transitioned to an AI-focused business analyst role in fintech after showcasing my Streamlit projects.”
Priya Desai
Priya Desai, Manchester
“From zero exposure to ML, I now understand embeddings, NLP pipelines, and model deployment. The support team and live classes kept me motivated throughout.”
Ahmed Khan
Ahmed Khan, Birmingham
“This gave me a competitive edge for academic research and job interviews. Building real LLM apps was much better than just reading about them in theory.”
Chloe Thomas
Chloe Thomas, Edinburgh
“The mix of practical projects and concept clarity helped me finally understand transformers. I built a chatbot using RAG and got shortlisted by two startups!”
James Reed
James Reed, New York
“I was skeptical, but this course made concepts like BERT and vector stores click. The portfolio I built led to a freelance GenAI consulting gig.”
Samantha Brooks
Samantha Brooks, Austin
“Capstone, mock interviews, and the deployment walkthroughs helped me land a remote role in AI ops. The support was top-notch throughout.”
Daniel Lee
Daniel Lee, San Francisco
“Prompt engineering and generative AI lessons helped me pivot into AI content generation. I now work with an LLM startup on use case testing and fine-tuning.”
Rachel Adams
Rachel Adams, Chicago

Start Your AI/ML + GenAI Journey Now

Build intelligent apps, master LLMs & ML models, and become job-ready in 9 months.

Frequently Asked Questions?

Is this course beginner-friendly?

Yes, this is designed for beginners who are willing to put in consistent effort.

Will I get placement assistance?

Yes. You’ll get resume, GitHub, LinkedIn review, mock interviews, and referrals.

Are the classes live or pre-recorded?

The program includes live classes with instructors. Recordings and additional materials are available via LMS for self-paced review.

Will I receive a certificate after completion?

Yes, you will get a Certificate of Completion once you finish the course and capstone project.

What kind of job support will I get?

We provide resume building, LinkedIn optimization, GitHub portfolio review, mock interviews, and referral support from our hiring network.

Do I need prior experience in AI/ML to join this course?

No prior ML experience is needed. You should have basic Python and logical aptitude. We start from the foundations and gradually build toward advanced topics like Deep Learning, NLP, and Generative AI.

What tools and libraries will I learn in this course?

You'll work with Python, NumPy, Pandas, Scikit-learn, Keras, TensorFlow, HuggingFace, LangChain, Streamlit, Flask, SQL, Git, and more—covering the most in-demand tools in the AI/ML ecosystem.

Will I build and deploy real-world projects?

Yes! You’ll build 10+ real projects including GenAI apps and deploy at least two of them using Flask, Streamlit, and cloud services (like AWS/GCP). These go straight into your GitHub portfolio.

Is job support included in the course?

Yes. We provide resume reviews, LinkedIn optimization, GitHub portfolio polishing, mock interviews, and referrals to hiring partners for eligible learners.

Register Now

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