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 & Final-Year Students
From CS, IT, ECE, or Math streams? This is your launchpad into the world of AI & ML.
Engineers & Analysts
Upskill into AI/ML roles with advanced tools, real-world projects, and career support.
Career Switchers
Coming from STEM, QA, Finance, or Business? Transition confidently into the AI industry.
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.
Tools Covered
Master the top AI, ML, NLP, and GenAI tools used by leading developers and engineers
Scikit-learn
Portfolio Projects
A collection of 7+ projects for practice and building your professional portfolio
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
- 7+ Industry-Ready Projects
- Certification of Completion
- Lifetime LMS Access
- Capstone Project with Deployment
1:1 Mentorship
Add-on
Personalized guidance
+£199
- Deep Learning, Transformers, RNN mentoring
- Deployment with Flask/Streamlit/Render
- Real-world use case ideation for capstone
Job Support Pack
Add-on
Career acceleration
+£299
- Deep Learning + LLM capstone interview prep
- Model deployment review (Streamlit/Flask)
- Industry referrals + GitHub walkthrough
What Our Learners Say
Start Your AI/ML + GenAI Journey Now
Build intelligent apps, master LLMs & ML models, and become job-ready in 9 months.
Frequently Asked Questions?
Yes, this is designed for beginners who are willing to put in consistent effort.
Yes. You’ll get resume, GitHub, LinkedIn review, mock interviews, and referrals.
The program includes live classes with instructors. Recordings and additional materials are available via LMS for self-paced review.
Yes, you will get a Certificate of Completion once you finish the course and capstone project.
We provide resume building, LinkedIn optimization, GitHub portfolio review, mock interviews, and referral support from our hiring network.
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.
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.
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.
Yes. We provide resume reviews, LinkedIn optimization, GitHub portfolio polishing, mock interviews, and referrals to hiring partners for eligible learners.