Cloud Computing Curriculum Day 1: Introduction to cloud computing, AWS, Azure, and Google Cloud Day 2: Cloud deployment models (IaaS, PaaS, SaaS) and core services Day 3: Hands-on with AWS (EC2, S3, Lambda) or Azure (VMs, Storage) Day 4: Google Cloud basics, setting up a project, and using cloud databases Day 5: Cloud security, best practices, and cost optimization
BI and DV Curriculum Day 1: Introduction to BI and data visualization tools Day 2: Data importing, cleaning, and preparation in Power BI/Tableau Day 3: Creating interactive visualizations and dashboards Day 4: Data modeling and calculations in Power BI/Tableau Day 5: Publishing and sharing reports, performance metrics
Blockchain Curriculum Day 1: Blockchain basics and how it works (blocks, chains, consensus mechanisms) Day 2: Cryptocurrencies and blockchain use cases Day 3: Smart contracts and decentralized applications (DApps) Day 4: Blockchain security and scalability issues Day 5: Real-world applications and the future of blockchain technology
Blockchain Dev Curriculum Day 1: Introduction to Blockchain technology and its components Day 2: Smart contracts and how they work with Ethereum Day 3: Setting up a development environment for Ethereum Day 4: Developing and deploying smart contracts with Solidity Day 5: Decentralized applications (DApps) and use case scenarios
Big Data Curriculum Day 1: Introduction to Big Data and its challenges Day 2: Understanding Hadoop and its ecosystem (HDFS, YARN) Day 3: Introduction to Apache Spark and its core concepts Day 4: Data processing with Spark RDDs and DataFrames Day 5: Big Data analytics use cases and Spark streaming
AI with Python Curriculum Day 1: Introduction to AI and Python libraries for AI Day 2: Data preprocessing and cleaning techniques Day 3: Supervised and unsupervised learning algorithms Day 4: Neural networks and deep learning with TensorFlow Day 5: Evaluating AI models and deployment considerations
AI Curriculum Day 1: Introduction to AI, types of AI, and business applications Day 2: Machine learning basics and algorithms Day 3: Data and AI: How data powers AI applications Day 4: Natural language processing and its applications Day 5: Implementing AI in business: tools, challenges, and ethical considerations
API Development Curriculum Day 1: Introduction to APIs and RESTful services Day 2: Setting up a development environment for APIs Day 3: Building APIs with Node.js or Flask Day 4: Securing APIs (OAuth, JWT, and API keys) Day 5: Documenting and testing APIs with tools like Swagger and Postman
Agile and Scrum Curriculum Day 1: Introduction to Agile principles and practices Day 2: Scrum roles, artifacts, and ceremonies Day 3: Sprint planning, execution, and retrospective Day 4: Managing a Scrum board and tracking progress Day 5: Scaling Scrum and Agile for large projects
3D and CAD Design Curriculum Day 1: Introduction to 3D printing and its applications Day 2: Basics of CAD software (SolidWorks, AutoCAD) Day 3: Designing simple 3D models for printing Day 4: 3D printer setup and printing techniques Day 5: Troubleshooting, quality control, and post-processing of 3D printed models
Digital Marketing Curriculum Day 1: Introduction to Digital Marketing, SEO fundamentals Day 2: Social Media Marketing strategies and tools (Facebook, Instagram, LinkedIn) Day 3: Google Ads and Pay-Per-Click (PPC) advertising Day 4: Email Marketing strategies and automation Day 5: Analytics and measuring marketing performance (Google Analytics)
Data Analytics Curriculum Day 1: Introduction to Python, data types, and basic operations Day 2: Data manipulation with Pandas and NumPy Day 3: Data cleaning and preprocessing Day 4: Data visualization with Matplotlib and Seaborn Day 5: Introduction to basic machine learning concepts (regression, classification)
Business Intelligence Curriculum Day 1: Introduction to Power BI, connecting to data sources Day 2: Data transformation using Power Query and DAX (Data Analysis Expressions) Day 3: Creating reports and visualizations in Power BI Day 4: Building interactive dashboards and data models Day 5: Publishing and sharing Power BI reports, Power BI Service, and collaboration features
Agile and Scrum Curriculum Day 1: Introduction to Agile methodology and principles Day 2: Scrum framework, roles (Scrum Master, Product Owner, Scrum Team) Day 3: Scrum ceremonies (Sprint Planning, Daily Standups, Sprint Review, Sprint Retrospective) Day 4: Agile project management tools and best practices Day 5: Hands-on simulation of a Scrum sprint (mock project)
Advanced Python Curriculum Day 1: Advanced Python data structures and algorithms Day 2: Object-Oriented Programming (OOP) in Python Day 3: Asynchronous programming using asyncio Day 4: Python for web development with Flask/Django Day 5: Data science and machine learning with Scikit-learn and TensorFlow
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