Master AI, ML & GenAI.
Build projects, get certified, and launch your career.
Hands-on projects, expert mentorship, and job support included. Enroll today!
Why Choose This AI & ML Course?
Master in-demand AI skills, build real-world projects, and launch your career with TechKnowledgeHub.
Live Expert Mentorship
Learn directly from AI professionals at Google, Microsoft, and leading startups with practical industry insights.
Real-World Projects
Work on real business problems using ML, Deep Learning, NLP, and GenAI tools like ChatGPT and Transformers.
Portfolio-Ready Skills
Create a professional GitHub portfolio, polish your resume, and showcase your AI/ML capabilities to employers.
Master Modern Tools
Get hands-on with Python, Scikit-learn, TensorFlow, HuggingFace, Streamlit, Flask, and deployment platforms.
Certification & Recognition
Earn an industry-recognized certificate from TechKnowledgeHub to boost your credibility and career prospects.
Career Support
Get help with mock interviews, LinkedIn optimization, job referrals, and placement assistance to land your dream job.
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.
6-Month AI & Machine Learning Curriculum
Explore what you'll learn each week
Month 1
Python & Data Analysis
- Week 1: Python basics, syntax, variables
- Week 2: Control flow, functions, loops
- Week 3: NumPy & Pandas fundamentals
- Week 4: Exploratory Data Analysis (EDA)
Month 2
Core Machine Learning
- Week 5: Supervised vs Unsupervised ML
- Week 6: Linear & Logistic Regression
- Week 7: KNN, Decision Trees, Naive Bayes
- Week 8: Model evaluation & metrics
Month 3
Advanced ML & Deployment
- Week 9: Random Forest, SVM, XGBoost
- Week 10: Hyperparameter tuning
- Week 11: Streamlit & Flask apps
- Week 12: Deployment on Vercel & Hugging Face
Month 4
Deep Learning
- Week 13: Neural networks (ANNs)
- Week 14: Keras & TensorFlow 2
- Week 15: CNNs for image classification
- Week 16: Activation, loss functions
Month 5
NLP & GenAI
- Week 17: Text preprocessing, TF-IDF
- Week 18: Sentiment analysis & use cases
- Week 19: Transformers, BERT, GPT
- Week 20: GenAI tools: LangChain, OpenAI
Month 6
Capstone & Career
- Week 21: Final capstone project (end-to-end)
- Week 22: Portfolio, GitHub, LinkedIn setup
- Week 23: Resume & interview prep
- Week 24: Mock interviews & job support
Tools Covered
Master the top AI, ML, NLP, and GenAI tools used by leading developers and engineers
Python
Scikit-learn
NumPy
Pandas
Matplotlib
Seaborn
TensorFlow
Keras
HuggingFace
LangChain
Streamlit
Flask
Real Projects You’ll Build
Hands-on projects that strengthen your skills and showcase your job-ready experience.
What Our Students Say
Ready to Start Your AI Journey?
Get career-ready with hands-on AI training, expert guidance, and real-world projects — secure your spot today!