AI & ML Training & Certification
Why AI & ML?
Traditional software is dead. The future is probabilistic, generative, and adaptive.
Generative AI (GenAI)
Learn to fine-tune Large Language Models (LLMs) like Llama and GPT. Build RAG (Retrieval Augmented Generation) pipelines to chat with your own data.
Deep Learning
Understand the magic behind the curtain. Build Neural Networks from scratch. Master Backpropagation, CNNs for Vision, and RNNs/LSTMs for Text.
NLP & Vision
Teach computers to see and read. Build Face Recognition systems and Sentiment Analysis engines using PyTorch and TensorFlow.
Production Grade AI
Models in notebooks are useless. We teach you MLOps: How to deploy models as APIs using FastAPI, Dockerize them, and monitor them in production.
The AI & ML Curriculum
From Neural Networks to Large Language Models.
SDLC & Methodologies
- SDLC Phases & Models (Waterfall, Agile, DevOps)
- Roles in IT & AI Projects
- Version Control & CI/CD Basics
DS Fundamentals
- Data Science Life Cycle
- Tools: Jupyter, Colab, UNIX
- Future & Impact of Data Science
Python Core
- Variables, Types & Collections
- Control Flow & Functions
- OOP & Exception Handling
Data Libraries
- NumPy & Pandas
- Matplotlib & Seaborn
- SciPy & TensorFlow Basics
Viz & Power BI
- Plotting Techniques (Boxplots, Histograms)
- Power BI: ETL, DAX & Modeling
- Analytical Dashboards
Stats Basics
- Central Tendency & Dispersion
- Correlation & Causation
- Hypothesis Testing (Parametric/Non-Parametric)
Probability
- Distributions & Random Variables
- Bayes Theorem & MLE
- Entropy & Information Gain
Matrix Ops
- Vectors & Scalars
- Matrix Multiplication & Transpose
- Eigenvalues & Eigenvectors
Data Structures
- Big O Complexity
- Arrays, Linked Lists, Trees, Graphs
- Sorting & Searching Algorithms
ML Overview
- Supervised vs Unsupervised
- Data Exploration, Cleaning & Normalization
- Feature Engineering
Regression Models
- Linear & Polynomial Regression
- Regularization (Lasso, Ridge, Elastic Net)
- R-squared & Evaluation
Classifiers
- Logistic Regression
- Decision Trees & Random Forests
- SVM & Kernel Trick
Advanced Models
- Naive Bayes & Perceptrons
- Model Evaluation (ROC, AUC, Confusion Matrix)
- Hyperparameter Tuning
Ensemble Methods
- Bagging & Boosting
- XGBoost, LightGBM, CatBoost
- Stacking & Blending
Clustering
- K-Means & Hierarchical Clustering
- PCA & t-SNE
- Dimensionality Reduction
DL Architectures
- ANNs, CNNs, RNNs
- Computer Vision with OpenCV
- Transfer Learning
Text Processing
- Vectorization & Preprocessing
- LSTMs & Autoencoders
- Sequence Tagging
GenAI Foundations
- GANs, VAEs & Transformers
- LLMs (GPT, Gemini, Claude)
- Hugging Face & Pre-trained Models
Prompting
- Prompt Design & Optimization
- Best Practices & Tuning
Applied AI
- AI Agents & Workflows
- AI API Integration
- AI-Driven UIs & Ethics
Master the Tools of the Trade
Get hands-on experience with the practical tools and platforms used by top engineering teams worldwide.
TensorFlow
FrameworkPyTorch
FrameworkKeras
LibraryScikit-learn
LibraryHugging Face
ModelsSlack
CommunicationJira
Project MgmtGitHub
Version ControlGit
Version ControlOpenAI
AI AssistantGemini
AI AssistantZoom
CommunicationBuild Intelligent Systems
Create applications that can see, hear, and speak.
Custom AI Chatbot
Build a chatbot that knows your company data using RAG (Retrieval Augmented Generation) with OpenAI and Pincone.
Face Recognition
Create a secure attendance system using Computer Vision (OpenCV and FaceNet) to detect and recognize employee faces.
Recommendation Engine
Build a movie recommendation system like Netflix using Collaborative Filtering and Deep Learning embeddings.
Earn a Certificate that
Proves Your Expertise
Upon successful completion of the course and capstone project, you will receive an industry-recognized certification from Aideas Academy.
We Don't Just Teach.
We Get You Hired.
Resume Building
Craft a world-class resume that stands out. We help you highlight your skills and projects effectively.
- ATS Optimized
- Project Highlighting
- Keyword Strategy
Mock Interviews
Practice with industry experts. Get real-time feedback to crack technical and HR rounds with confidence.
- Technical Rounds
- HR Questions
- Confidence Building
Career Mentorship
1-on-1 guidance from seniors in top MNCs. Map out your career path and meaningful growth strategies.
- 1-on-1 Sessions
- Industry Insights
- Growth Roadmap
Job Alerts
Get exclusive access to our hiring network. We connect you directly with startups and MNCs hiring now.
- Exclusive Openings
- Direct Referrals
- Interview Scheduling
"I thought Generative AI was just hype until I took this course. I built a custom RAG Chatbot for my company that saved us 100 hours a month."
Related Courses
Expand your skills with these complementary certification programs.
Frequently Asked Questions
Do I need to know Python?
Yes. Basic Python is a prerequisite. If you don't know Python, we recommend taking our Data Science (with Python) course first.
What hardware do I need?
For Deep Learning, a GPU helps. We teach you how to use free cloud GPUs like Google Colab and Kaggle Kernels.
Is this course up to date with GenAI?
Absolutely. We constantly update the syllabus. You will learn about the latest LLMs (Llama, Mistral) and prompt engineering.
Join the AI Revolution
Don't watch the future happen. Build it.