Artificial Intelligence

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What you will learn

Tech Immersion

Begin a comprehensive journey into the world of Artificial Intelligence.
This program takes you from Python fundamentals and essential mathematics for AI to advanced machine learning, deep learning, NLP, and modern transformer-based architectures. You will work with industry-standard tools such as NumPy, Pandas, Matplotlib, scikit-learn, TensorFlow/PyTorch, and Jupyter Notebook while also gaining hands-on exposure to MLOps fundamentals, Docker, and AWS for model deployment.
Each month builds progressively toward industry-level proficiency, equipping you with the depth required to excel as a modern AI and Machine Learning professional.

Live Project eployment

Translate your learning into real-world, end-to-end AI projects.
You will work on data processing, model training, hyperparameter tuning, and building production-ready models. The program guides you through deploying AI systems using Flask/FastAPI, Docker, and cloud services such as AWS.
By the end of the course, you will complete a capstone AI project—such as a chatbot, computer vision classifier, or recommendation system—that demonstrates your ability to build, optimize, and deploy intelligent models.

Resume Engineering

Your resume becomes a precise representation of your technical strengths.
We help you highlight your expertise in Python, machine learning algorithms, deep learning frameworks, model deployment, and project work.
The objective is to ensure your resume reflects job-ready AI competence and positions you competitively in a market with over 19,000+ active AI openings in India today and millions of emerging opportunities globally.

LinkedIn Optimization

Strengthen your online presence with a structured LinkedIn strategy tailored for AI professionals.
You will learn how to showcase your technical skills, present your projects, position your learning journey, and increase visibility among recruiters across the rapidly growing AI industry.
Your profile becomes a credibility signal that supports your job search and career expansion.

Community Membership

Become part of the Codigo Aldea AI community—a collaborative environment designed for continuous growth and mentorship.
Engage in discussions, access curated AI resources, receive support from trainers and industry professionals, and stay updated with emerging AI tools and techniques.
This community ensures you remain supported throughout your training and well into your professional journey.

Skills you will gain

Python Pandas Numpy MLOps Machine Learning Git Deep Learning AWS

Roadmap to Advance Artificial Intelligence

This Specialization builds on the success of the Artificial Intelligence for Everybody course and will introduce fundamental programming concepts including data structures, networked application program interfaces, and databases, using the Artificial Intelligence. In the Capstone Project, you’ll use the technologies learned throughout the Specialization to design and create your own applications for data retrieval, processing, and visualization.

Month-1 Course Info

• Python Fundamentals for AI
• NumPy - Arrays, Broadcasting, Vectorized Operations
• Pandas - DataFrames, Cleaning, Preprocessing
• Matplotlib and Seaborn - Visualizations
• Jupyter Notebook - Workflow and Experimentation
• Math for AI - Linear Algebra Fundamentals
• Math for AI - Probability and Statistics Basics
• Git and GitHub Introduction
• Communication and Professional Skills

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Month-2 Course Info

• Exploratory Data Analysis (EDA)
• Feature Engineering - Encoding, Scaling, Transformations
• Supervised Learning Algorithms - Regression, Classification
• Model Evaluation Metrics - MAE, RMSE, Precision, Recall, F1
• Cross Validation and Overfitting/Underfitting Concepts
• Hyperparameter Tuning - GridSearchCV, RandomSearch
• Resume Building
• Mock Interviews - Communication Skills

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Month-3 Course Info

• Unsupervised Learning - Clustering (KMeans, DBSCAN)
• Dimensionality Reduction - PCA, t-SNE
• Time Series Basics - Moving Averages, ARIMA
• Ensemble Techniques - Bagging, Boosting, XGBoost
• Deep Learning Introduction - Neural Networks Basics
• TensorFlow/PyTorch Basics
• LinkedIn Profile Optimization
• Technical + Communication Mock Interviews

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Month-4 Course Info

• Deep Learning Advanced - CNNs for Image Classification
• RNNs, LSTMs, GRUs for Sequence Modeling
• NLP Basics - Text Preprocessing, Tokenization, Word Embeddings
• Transformers Architecture - Attention Mechanism
• LLM Basics - Prompting, Fine-Tuning Concepts
• Building AI Pipelines for Model Training
• Presentation Skills
• Body Language and Confidence Building

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Month-5 Course Info

• MLOps Basics - Workflow, Versioning, Experiment Tracking
• Model Deployment with Flask/FastAPI
• Docker for AI Model Packaging
• Cloud Deployments on AWS - EC2, S3, Lambda
• Model Monitoring and Logging
• Freelancing Guidance - Platforms, Proposal Writing, Pricing
• Negotiation Skills for AI Professionals
• Financial Education - Budgeting, Investments, Taxes
• Mock Interviews - Technical Rounds

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Month-6 Course Info

• End-to-End AI Project - Data Collection to Deployment
• Advanced Topics - Reinforcement Learning Overview
• Building Chatbots, Recommendation Systems, or Vision Systems
• Scalable AI Architecture Best Practices
• Security, Ethics, and Responsible AI Principles
• Sales and Entrepreneurship Training
• Building a Personal Brand in AI
• Capstone Project - Presentation and Defense
• Final Mock Interviews - Comprehensive Rounds

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Instructor

DHAWAL DESHPANDE

Why people choose Codigo Aldea for their career