Digital Lync

Course curriculum

Eleven sections. 75+ modules. The full AI-native stack.

Jump to any section on the left. Click a module to see topics, hands-on lab, and key technologies.

Foundations of AI & Applications

The ground floor: how applications actually work, how teams ship them, and where AI fits in the 2026 stack. You leave this section fluent in the vocabulary of any engineering org.

5 MODULES
~ WEEK 1

Topics Covered: What is an Application — types and real-world purpose Web Application Fundamentals & Client-Server Architecture Frontend Technologies: HTML, CSS, JavaScript, React Backend Technologies: Python, Java, Node.js Databases: SQL (MySQL, PostgreSQL) and NoSQL (MongoDB) Software Development Life Cycle (SDLC) SDLC Phases: Planning → Analysis → Design → Implementation → Testing → Deployment → Maintenance

Topics Covered: Waterfall vs. Agile Methodologies The Agile Mindset and Core Values Popular Agile Frameworks Overview Scrum Pillars, Roles (Product Owner, Scrum Master, Dev Team) Scrum Events: Sprint, Sprint Planning, Daily Scrum, Review, Retrospective Scrum Artifacts: Product Backlog, Sprint Backlog, Increment Writing User Stories, Epics, Themes & Acceptance Criteria Estimating and Managing Backlogs Tools: Azure Boards, Google Sheets

Topics Covered: The Importance of Computing Power in the AI Era CPU vs. GPU — Understanding the Difference Introduction to Cloud Computing Cloud Service Models: IaaS, PaaS, SaaS Data as the Fuel for AI

Topics Covered: What is Artificial Intelligence? How AI Works Machine Learning (ML) Fundamentals Deep Learning (DL) Fundamentals What is Generative AI? Large Language Models (LLMs) Image Generation Models What is Agentic AI? Autonomous AI Systems AI in Everyday Learning and Enterprise

Topics Covered: Customer Relationship Management (CRM) with AI Human Resource Management Systems (HRMS) powered by AI Retail & E-Commerce AI Applications Healthcare AI Applications AI in DevOps, Data Engineering, and FullStack

React JS & SQL DB

The backbone of the program. Twelve modules that take you from "runs my own Linux server" to "ships a GitOps pipeline on Kubernetes" — plus a Cursor AI module for agent-assisted DevOps workflows.

12 MODULES
WEEKS 2–7

Topics Covered: What is React? Why React? Component-based Architecture Setting up Development Environment (Node.js, npm) Creating React App with Vite / create-react-app Project Structure Overview & JSX Syntax Functional Components vs. Class Components Hands-On: Build a "Hello World" application

Topics Covered: Understanding Props & PropTypes Introduction to React Hooks & useState Event Handling (onClick, onChange, onSubmit) Controlled vs. Uncontrolled Components Form Handling with State Hands-On: Interactive counter and form component

Topics Covered: useEffect Hook, Dependency Arrays & Cleanup useRef for DOM Access & Persisting Values Performance: useMemo and useCallback useReducer for Complex State Logic Custom Hooks — Creating Reusable Logic Hands-On: Data fetching component with loading states

Topics Covered: Styling: CSS Modules & Styled-Components Context API for Global State Management React Router v6: Routes, Link, & useNavigate Nested Routes and Protected Routes Hands-On: Multi-page app with theme switching

Topics Covered: Higher-Order Components (HOCs) & Composition Redux Toolkit: Store, Slices, & Async Thunks Axios Integration for REST APIs Error Boundaries & Code Splitting (Suspense) Deployment to Vercel / Netlify Hands-On: Full CRUD application with Redux

Topics Covered: Intro to DBMS/RDBMS & ACID Properties PostgreSQL Installation (Windows, Mac, Linux) Tools: psql and pgAdmin 4 Setup Data Types: Numeric, Character, Date/Time, Boolean Constraints: PK, FK, UNIQUE, NOT NULL, CHECK Creating Databases & Referential Integrity

Topics Covered: SELECT, WHERE, ORDER BY, LIMIT & OFFSET Operators: Comparison, Logical, LIKE & NULL Handling Aggregate Functions: COUNT, SUM, AVG, MIN, MAX GROUP BY, HAVING, and Window Functions JOINs: INNER, LEFT, RIGHT, FULL, CROSS, SELF

Topics Covered: Subqueries & Correlated Subqueries (EXISTS) CTEs (Common Table Expressions) & Recursive CTEs Set Operators: UNION, INTERSECT, EXCEPT DML Operations: UPDATE, DELETE, TRUNCATE Transaction Management: COMMIT, ROLLBACK, Savepoints Isolation Levels & Concurrency Control

Topics Covered: Index Types (B-tree, Hash, GIN, GiST) Views: Standard, Updatable, and Materialized Stored Functions & Procedures (PL/pgSQL) Control Structures: IF, CASE, LOOP Triggers: BEFORE, AFTER, INSTEAD OF Audit Logging & Data Validation Automation

Topics Covered: Entity-Relationship (ER) Modeling & Diagrams Normalization: 1NF, 2NF, 3NF Trade-offs Query Optimization: EXPLAIN & EXPLAIN ANALYZE Indexing Strategies, VACUUM, & Statistics Connection Pooling & Table Partitioning

Python & FastAPI

The Microsoft stack for end-to-end ALM. Five modules covering Boards, Repos, Pipelines, Artifacts, and Test Plans — for the enterprise roles where Azure DevOps is the standard.

5 MODULES
WEEK 8

Topics Covered: Setup, IDE (VS Code), Syntax & Keywords Variables, Data Types, & Type Casting Conditional Statements (if/elif/else, match-case) Loops (while, for) & Control Flow (break, continue) User Input handling with input()

Topics Covered: String Indexing & Slicing (start:end:step) Formatting (f-strings) & Concatenation Immutability & Case Conversion Methods Search, Replacement, & Trimming Techniques Split/Join and Alignment Methods

Topics Covered: Lists: CRUD Operations, Indexing & Slicing Sorting, Reversing, & List Comprehensions Tuples: Immutability, Packing & Unpacking Use Cases: Lists vs. Tuples Performance

Topics Covered: Dictionaries: Access, Methods, & Nested Dicts Dictionary Comprehensions Sets: Union, Intersection, & Difference Frozen Sets & Hashability

Topics Covered: Collections: Counter, namedtuple, defaultdict, deque Iteration Protocol & Custom Iterators Generators: yield & Generator Expressions Functional Tools: map, filter, reduce Memory Efficiency & Pipelines

Topics Covered: Parameters: Positional, Keyword, & Default Dynamic Arguments (*args, **kwargs) Scope: Local, Global, & Non-local Recursive Functions & Lambda (IIFE) Function Documentation (Docstrings)

Topics Covered: Built-in vs. External Modules Import Techniques & Package Structure (__init__.py) pip & requirements.txt Management Ecosystem: requests, pandas, numpy overview

Topics Covered: File I/O: open(), Read, Write, Append Directory Management (os, shutil) CSV Handling: DictReader & DictWriter JSON: Serialization & Deserialization

Topics Covered: Exception Handling (try/except/finally) Creating Custom Exceptions Decorators: Function & Class-based Context Managers & 'with' Statement

Topics Covered: Classes, Objects, & __init__ Method 4 Pillars: Encapsulation, Inheritance, Abstraction, Polymorphism Access Modifiers & Method Overriding Static & Class Methods (@classmethod) Magic Methods (__str__, __repr__, __len__)

FastAPI — Modern Python Backend Framework

Topics Covered: Framework Comparison: Flask vs. Django vs. FastAPI Why FastAPI? Async, Pydantic & Auto-Documentation Environment Setup, FastAPI & Uvicorn Installation Path Operations: GET, POST, PUT, DELETE Auto-generated Swagger UI & ReDoc

Topics Covered: Path Parameters with Type Hints & Enums Query Parameters: Required, Optional, & Defaults Pydantic BaseModel for Automatic Data Validation Nested Models, Optional Fields & Response Models

Topics Covered: SQLAlchemy Setup & Session Management Mapping Pydantic Schemas to SQLAlchemy Models Full CRUD Operations (Create, Read, Update, Delete) Database Migrations with Alembic Table Relationships: One-to-Many & Many-to-Many

Topics Covered: Modular Routers with APIRouter, Prefixes & Tags Error Handling: HTTPExceptions & Custom Handlers Repository Pattern & Dependency Injection Environment Variables & CORS Configuration

Topics Covered: Secure Password Hashing with Bcrypt OAuth2 Password Flow & JWT Implementation Route Protection & Role-Based Access Control (RBAC) API Testing with Postman & Thunder Client

Data Analysis & Engineering with MS Fabric

Deep cloud fluency across both majors. AWS compute, networking, storage, cost; Azure compute, storage, networking, governance, app services. Certification-prep rigor, without the slide-deck pedagogy.

10 MODULES
WEEK 9

Topics Covered: BI Fundamentals & Modern Analytics Power BI Components & Architecture Desktop vs. Service Capabilities First Report Creation & Interface Navigation

Topics Covered: File, Database, Cloud & Web Source Connectivity Import vs. DirectQuery vs. Live Connection Data Source Settings & Credential Management Performance Considerations for Connection Modes

Topics Covered: Power Query Interface & Applied Steps Data Profiling & Quality Assessment Filtering, Splitting, Merging, Pivot & Unpivot Combining Queries: Append & Merge Operations

Topics Covered: Star Schema vs. Snowflake Schema Design Creating and Managing Table Relationships Hierarchies & Date Dimension Tables Data Model Optimization Strategies

Topics Covered: Data Visualization Principles & Chart Selection Core Visuals: Charts, Tables, Maps, & KPIs Interactivity: Slicers, Bookmarks, & Drill-Through Mobile Optimization & Data Storytelling

Topics Covered: DAX Syntax, Calculated Columns vs. Measures Functions: Aggregation, Logical, Text, Date/Time CALCULATE and FILTER Functions Creating KPIs and Business Metrics

Topics Covered: Time Intelligence: YTD, MTD, QTD & Growth Rates Prior Period Comparisons & Filter Context Variables & Iterator Functions DAX Performance Optimization

Topics Covered: Custom Visuals from AppSource & AI Visuals Waterfall, Funnel, & Decomposition Tree Charts R and Python Integration in Power BI Dynamic Visuals with Parameters

Topics Covered: Workspace Management & Data Refresh Gateway Sharing Strategies: Power BI Apps & Dashboards Integration: Teams, SharePoint, & Excel Storytelling with PowerPoint Integration

Topics Covered: Admin Portal & Row-Level Security (RLS) Incremental Refresh & Deployment Pipelines Capacity Management & Licensing Models APIs & Embedded Analytics

Data Engineering with Microsoft Fabric

Topics Covered: Fabric Architecture & Workloads (Data Factory, Warehouse, Science) Licensing & Capacity Units (F2–F2048) Workspaces & Tenant Structure Comparisons: Databricks, Snowflake & Synapse Migration

Topics Covered: OneLake Architecture, Delta Lake & Parquet Formats ACID Transactions & Versioning OneLake Shortcuts to External Data Sources Data Discovery, Security & Access Control

Topics Covered: Lakehouse Fundamentals & Core Components Medallion Architecture: Bronze → Silver → Gold SQL Analytics Endpoint & Delta Table Operations Time Travel & Metadata Management

Topics Covered: Data Pipelines, Connectors & Dataflows Gen2 M Language Fundamentals for Transformation Database Mirroring: Azure SQL, Cosmos DB, PostgreSQL Orchestration, Error Handling & CI/CD Patterns

Topics Covered: Spark in Fabric, Notebooks & Copilot Integration PySpark DataFrames, Transformations & Spark SQL Spark Job Definitions & Scheduling AI Functions within Spark Environments

Topics Covered: Fabric Data Warehouse & T-SQL Support Star Schema & Dimensional Modeling Slowly Changing Dimensions (SCD) Management SQL Database in Fabric & Performance Tuning

Topics Covered: Eventstreams & Streaming Data Sources Kusto Query Language (KQL) & Eventhouses Real-Time Dashboards, Alerting & Geospatial Maps Graph in Fabric for Relationship Analytics

Topics Covered: Direct Lake Mode: High-Speed Analytics Semantic Models, Relationships & DAX Incremental Refresh & Security (RLS/OLS) Report Development with Fabric Copilot

Topics Covered: EDA, ML Model Training & Versioning MLflow Integration & Experiment Tracking Semantic Link (SemPy) Integration Batch Scoring & Predictive Analytics

Topics Covered: Copilot for SQL, KQL, Pipelines & Reports Conversational Data Agents & Monitoring AI Fabric IQ & Ontology Models Azure AI Foundry & AI Function Integration

Topics Covered: User Data Functions: Serverless Python Functions Security: Dynamic Data Masking & Authorization Microsoft Purview: Lineage, Catalog & Compliance Git Integration, Deployment Pipelines & CI/CD Enterprise Architecture & Data Mesh Patterns Prep: DP-600 & DP-700 Certification

Math & Stats for AI & Data

Python depth that pays off everywhere — from shell scripts to agent tools. OOP, data structures, generators, decorators, and the packages that actually ship: requests, pandas, numpy.

10 MODULES
WEEK 10

Topics Covered: Set Theory, Logical Operations, Functions & Graphs Vectors: Operations, Dot Product & Magnitude Matrices: Inverse, Determinant & Gaussian Elimination Eigenvalues, Eigenvectors & Matrix Decomposition Introduction to PCA Intuition

Topics Covered: Basics of Probability, Sample Spaces & Axioms Conditional Probability & Bayes' Theorem Random Variables: Discrete vs. Continuous PMF (Probability Mass) & PDF (Probability Density) Monte Carlo Simulations & Law of Large Numbers

Topics Covered: Discrete: Binomial, Poisson, & Geometric Continuous: Normal, Exponential, & Uniform Expectation, Variance, & Higher Moments Central Limit Theorem & Sampling Distributions

Topics Covered: Descriptive Stats: Mean, Median, Std Dev, & IQR Outlier Detection: Histograms, Boxplots, & Scatterplots Hypothesis Testing: p-values, t-tests, ANOVA Confidence Intervals & Type I/II Errors

Topics Covered: Covariance & Correlation (Pearson vs. Spearman) Linear Regression: Least Squares, R², & Adjusted R² Logistic Regression: Sigmoid Function & Log-Odds Cost Functions: MSE & Cross-Entropy Gradient Descent: Learning Rate & Batch vs. Stochastic

Machine Learning

The AI-native part. LLMs, RAG, LangChain 1.0, LangGraph, MCP, A2A, HITL, observability with LangSmith. Not theory — the stack you'll use to build your capstone agent.

10 MODULES
WEEKS 11–12

Topics Covered: AI vs. ML vs. Deep Learning — The Landscape Supervised, Unsupervised & Reinforcement Learning Models, Parameters, Hyperparameters & Optimizers ML Environment Setup: Python, Jupyter, Scikit-learn

Topics Covered: Loss Functions: MSE, MAE, Cross-Entropy, Huber Loss Gradient Descent: Batch, Stochastic & Mini-Batch Advanced Optimizers: Adam, RMSprop, AdaGrad Convergence & the Optimization Landscape

Topics Covered: End-to-End ML Workflow (CRISP-DM) EDA, Missing Data & Outlier Detection Feature Engineering: Scaling, Normalization, Standardization Cross-Validation & Train/Test Split Strategies

Topics Covered: Simple & Multiple Linear Regression (OLS) Metrics: R², Adjusted R², RMSE, MAE Residual Analysis & Error Interpretation Multicollinearity & Variance Inflation Factor (VIF)

Topics Covered: Bias-Variance Tradeoff & Under/Overfitting Ridge (L2), Lasso (L1), & Elastic Net Regularization GridSearchCV & RandomizedSearchCV Analyzing Learning Curves

Topics Covered: Logistic Regression, Sigmoid & Decision Boundaries Multi-class: One-vs-Rest & Softmax Naive Bayes: Gaussian, Multinomial, & Bernoulli Laplace Smoothing Techniques

Topics Covered: Decision Trees: Entropy & Gini Impurity Bagging: Random Forest & OOB Error Boosting: XGBoost, LightGBM, & CatBoost Feature Importance Analytics

Topics Covered: SVM: Margin Optimization & Kernel Trick Precision, Recall, F1-Score & Confusion Matrix ROC Curves & AUC-ROC Interpretation Handling Imbalanced Data with SMOTE

Topics Covered: K-Means, Hierarchical Clustering & DBSCAN Dimensionality Reduction: PCA & t-SNE Feature Extraction vs. Feature Selection The Curse of Dimensionality

Topics Covered: RL Basics: Agents, MDP & Q-Learning Prediction APIs with FastAPI & Model Persistence Drift Detection & Model Monitoring Responsible AI & Ethical Bias Mitigation

Deep Learning & NLP

The AI-native part. LLMs, RAG, LangChain 1.0, LangGraph, MCP, A2A, HITL, observability with LangSmith. Not theory — the stack you'll use to build your capstone agent.

10 MODULES
WEEKS 11–12

Topics Covered: Artificial Neural Networks, Perceptrons & Activation Functions Forward Propagation & Backpropagation Mechanics Optimization: SGD, Adam, & RMSprop Building ANNs from Scratch in NumPy Regularization: Overfitting & Underfitting Mitigation

Topics Covered: PyTorch & TensorFlow: Tensors, Graphs & Autograd Building Networks with nn.Module & Data Loading Training Loops, Validation & Checkpointing GPU Acceleration & Distributed Training

Topics Covered: Convolution, Filters, Strides, Padding & Pooling [Image of Convolutional Neural Network architecture] Classic Architectures: LeNet, AlexNet, VGG Building CNNs from Scratch & Visualizing Features

Topics Covered: ResNet, Inception, DenseNet & Residual Connections Batch Normalization, Dropout & Transfer Learning Object Detection (R-CNN), Segmentation & Compression

Topics Covered: Sequential Data & Vanilla RNN Architecture Vanishing Gradient Problem & BPTT LSTM Networks: Gates, Cell States & GRUs

Topics Covered: Bidirectional RNNs & Stacked Architectures Seq2Seq Models & Encoder-Decoder Design Teacher Forcing & Variable-Length Sequences

Topics Covered: Tokenization, Bag of Words & TF-IDF Word Embeddings: Word2Vec, GloVe, FastText Language Modeling & NLP Evaluation Metrics

Topics Covered: CNN, RNN, & LSTM Pipelines for Text Sentiment Analysis & Multi-class Strategies Handling Imbalanced Textual Datasets

Topics Covered: Neural Machine Translation Deep Dive Beam Search & Decoding Strategies Evaluation Metrics: BLEU & ROUGE

Topics Covered: Named Entity Recognition (NER) & POS Tagging BiLSTM-CRF Architectures for NER Relation Extraction & Domain-Specific NER Systems

Generative AI & Agentic AI

The AI-native part. LLMs, RAG, LangChain 1.0, LangGraph, MCP, A2A, HITL, observability with LangSmith. Not theory — the stack you'll use to build your capstone agent.

10 MODULES
WEEKS 11–12

Topics Covered: LLM Fundamentals & Transformer Architecture Comparing Major LLMs: GPT, Claude, Gemini, DeepSeek Tokenization, Model Selection & Cost Optimization Evolution of 2026 Frontier Models

Topics Covered: Zero-shot, Few-shot & Chain-of-Thought Prompting Context Engineering & Reducing Hallucinations Multimodal Prompting (Text, Image, Audio) Domain-Specific Design for Reasoning Modes

Topics Covered: Integration: OpenAI, Anthropic, Google & DeepSeek APIs LangChain 1.0: create_agent Abstractions Streaming, Function Calling & Structured Outputs Middleware for Multi-Provider Customization

Topics Covered: Vector DBs: ChromaDB, Pinecone, Qdrant Hybrid Search & Agentic RAG Pipelines MCP-Enhanced Retrieval & Embedding Strategies Self-Improving Retrieval & Hallucination Mitigation

Topics Covered: Interfaces with Streamlit & Gradio AI Governance & EU AI Act Compliance API Security, Rate Limiting & Monitoring Enterprise Scaling & Tool Integration

Topics Covered: Agentic Fundamentals: Plan, Reason, Act Model Context Protocol (MCP) Tool Patterns Enterprise Agent Architecture Design LangChain 1.0 Middleware Agents

Topics Covered: Graph-Based Logic & Architecture State Management & Node Caching Pre/Post Hooks for Guardrails Building Reusable AI Workflows

Topics Covered: Parallel Execution & Conditional Routing Iterative Refinement Loops & Type-Safe Streaming Decision Trees & Multi-Stage Approval Workflows Quality-Gated Content Generation

Topics Covered: Durable State: PostgreSQL & Redis Integration Human-in-the-Loop (HITL) Multi-Day Workflows Audit Trails & Enterprise Compliance Failure Recovery Strategies

Topics Covered: Multi-Agent Systems & Google A2A Protocol LangSmith Observability & Monitoring MCP Security & Prompt Injection Prevention Agent Guardrails & Safety Compliance

Cloud, Testing & AI Ops

The AI-native part. LLMs, RAG, LangChain 1.0, LangGraph, MCP, A2A, HITL, observability with LangSmith. Not theory — the stack you'll use to build your capstone agent.

10 MODULES
WEEKS 11–12

Topics Covered: DevOps Culture, Principles & the Dev-Ops Gap Key Practices: CI/CD, IaC, & Collaboration Server & Networking Essentials (DNS, HTTP/HTTPS, Ports) Cloud Concepts: IaaS, PaaS, SaaS & Provider Overview

Topics Covered: Linux Architecture, File Systems & Navigation Permissions, Process Management & Networking Commands Shell Scripting: Automation, Loops & Functions Cron Jobs, Log Management & Script Scheduling

Topics Covered: Git Workflow: Branching, Merging & Rebasing Resolving Conflicts & Pull Request Workflows GitHub Actions Basics & Collaboration Patterns Repository Management for AI Projects

Topics Covered: Pipeline Stages: Build, Test, & Deployment GitHub Actions: Workflows, Jobs, & Secret Management CI/CD for AI/ML: Training & Deployment Automation Blue-Green & Canary Deployment Strategies

Topics Covered: Docker Architecture: Images, Containers & Registries Dockerfile Authoring & Multi-Stage Builds Docker Compose for Multi-Container Applications Containerizing AI Services & FastAPI Apps

Topics Covered: K8s Architecture: Master vs. Worker Nodes Core Objects: Pods, Deployments, Services & Ingress Scaling, Rolling Updates & Self-Healing Persistent Volumes for Stateful AI Workloads

Topics Covered: IaC Concepts & Terraform CLI (Plan, Apply, Destroy) Providers, Resources, Variables & State Management Modules for Reusable Multi-Cloud Infrastructure CI/CD Integration for Infrastructure Provisioning

Topics Covered: Observability Pillars: Metrics, Logs, & Traces Prometheus: Scrapers, Exporters & PromQL Grafana Dashboards & Visualizing AI Model Latency Alerting Rules for Throughput & Error Rates

Topics Covered: Model Drift & Data Drift Monitoring LangSmith & MLflow for Model Observability Responsible AI: Bias Detection & Compliance Scaling AI Inference: GPU Optimization & Cost Control

Enterprise Programs

FullStack

DATA

AI

Other Programs

Full Stack MERN
+ Full AI Stack

Four things every Full AI Stack grad walks away with.

From "knows what an API is" to ships agentic AI in production.

React · PostgreSQL · Python · FastAPI

Power BI · Microsoft Fabric · Lakehouse

Math · ML · Deep Learning · NLP

Build an enterprise-grade agentic system, deployed to Kubernetes, in a partner org.

Eleven sections. 75+ modules. The full AI-native stack.

Foundations of AI & Applications

React JS & SQL DB

Python & FastAPI

Python — Core & Advanced

FastAPI — Modern Python Backend Framework

Data Analysis & Engineering with MS Fabric

Data Engineering with Microsoft Fabric

Math & Stats for AI & Data

Machine Learning

Deep Learning & NLP

Generative AI & Agentic AI

Cloud, Testing & AI Ops

40+ tools, one production capstone.

You don't watch videos. You ship software.

LMS on EKS

HRMS pipeline

CRM observability

Your AI-Ops agent, in a real partner org.

Taught by engineers who shipped agentic AI to production.

Questions we actually get — answered honestly.

Cohort 015 starts 12 May 2026.
48 seats. 11 already claimed.

Get Skilled

Full Stack MERN+ Full AI Stack

Four things every Full AI Stack grad walks away with.

From "knows what an API is" to ships agentic AI in production.

React · PostgreSQL · Python · FastAPI

Power BI · Microsoft Fabric · Lakehouse

Math · ML · Deep Learning · NLP

Build an enterprise-grade agentic system, deployed to Kubernetes, in a partner org.

Eleven sections. 75+ modules. The full AI-native stack.

Foundations of AI & Applications

React JS & SQL DB

Python & FastAPI

Python — Core & Advanced

FastAPI — Modern Python Backend Framework

Data Analysis & Engineering with MS Fabric

Data Engineering with Microsoft Fabric

Math & Stats for AI & Data

Machine Learning

Deep Learning & NLP

Generative AI & Agentic AI

Cloud, Testing & AI Ops

40+ tools, one production capstone.

You don't watch videos. You ship software.

LMS on EKS

HRMS pipeline

CRM observability

Your AI-Ops agent, in a real partner org.

Taught by engineers who shipped agentic AI to production.

Questions we actually get — answered honestly.

Cohort 015 starts 12 May 2026.48 seats. 11 already claimed.

Get Skilled

Full Stack MERN
+ Full AI Stack

Cohort 015 starts 12 May 2026.
48 seats. 11 already claimed.