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Train, Transition, Thrive

Whether you are switching careers or starting fresh, our hands-on programs help you
break into your professional journey with confidence and clarity.

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What do you want to learn about?

Data Analysis
Business Analysis
Cybersecurity
Entrepreneurship

What do you want to achieve?

Switch Careers
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USA
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Level 1: Novice (Introduction to Cybersecurity Basics)

What You’ll Learn:
  • Understand basic cybersecurity principles, threats, and system-hardening techniques.
  • Explore concepts, applications, and leverage AI for threat detection and automation.
  • Gain hands-on experience with automated patch management and basic endpoint protection strategies.
Real Tools, Real Practice :
Automox Automox
Sophos Home Sophos Home
Microsoft Security Essentials Microsoft Security Essentials
Google Colab (for basic ML exploration) Google Colab
(for basic ML exploration)
TENSORFLOW TensorFlow
Potential Use Case:
  • Implementing network security protocols to protect a small business from basic cyber threats.
  • Identifying and responding to suspicious activity in network traffic using anomaly detection techniques.
Certifications You Will Be Ready For:
Certification Icon CompTIA IT
Fundamentals (ITF+)
After completion of the course , Job Roles you are ready for : Junior IT Security Specialist Cybersecurity Assistant Helpdesk Support Technician Security Operations Center (SOC) Analyst - Trainee IT Support Specialist Junior Vulnerability Assessor Technical Support Specialist Security Awareness Trainer Network Support Assistant

Level 2: Foundation (Entry-Level Cybersecurity Skills)

What You’ll Learn:
  • Learn network traffic analysis, vulnerability scanning, and ethical hacking with a focus on ISO/IEC 27001 standards.
  • Use AI and ML for threat detection, anomaly identification, and incident response automation.
  • Hands-on practice with tools for network analysis, vulnerability scanning, and security auditing.
Real Tools, Real Practice :
Tenable io Tenable io
Wireshark Wireshark
Kali Linux Kali Linux
Scikit-Learn Scikit-Learn
Anaconda Anaconda
Potential Use Case:
  • Performing vulnerability assessments and recommending security improvements for enterprise network systems.
  • Developing machine learning models to detect and mitigate abnormal patterns in network behavior.
Certifications You Will Be Ready For:
Certified Ethical Hacker (CEH) Certified Ethical Hacker (CEH)
ISMS Lead Auditor (ISO/IEC 27001:2013) ISMS Lead Auditor (ISO/IEC 27001:2013)
After completion of the course , Job Roles you are ready for : Cybersecurity Analyst Information Security Specialist Junior Penetration Tester Ethical Hacker Vulnerability Assessor Risk Management Analyst Incident Response Analyst Compliance Auditor - Trainee Threat Monitoring Specialist Junior Governance, Risk, and Compliance (GRC) Analyst

Level 3: Intermediate (Cybersecurity Practitioner Level)

What You’ll Learn:
  • Focus on proactive threat hunting, incident response, and deeper security operations.
  • Hands-on experience with threat intelligence, penetration testing, and advanced network security tools.
Real Tools, Real Practice :
CrowdStrike CrowdStrike
QRadar IBM QRadar IBM
Fortinet Fortinet
Cisco Checkpoint Cisco Checkpoint
Intune Intune
Metasploit Metasploit
Splunk Splunk
TensorFlow TensorFlow
PyTorch PyTorch
Potential Use Case:
  • Analyzing and responding to simulated data breaches using advanced incident response strategies.
  • Creating predictive models to forecast and prevent cyber threats based on historical data.
Certifications You Will Be Ready For:
Certification Icon CompTIA CySA+
Certification Icon Cisco Certified CyberOps
Associate
Certification Icon Cybersecurity Practitioner
Certification (CSX-P)
Google AI TensorFlow Developer Certificate Google AI TensorFlow
Developer Certificate
After completion of the course , Job Roles you are ready for : Penetration Tester Security Operations Center (SOC) Analyst Network Security Engineer Risk Management Consultant Cybersecurity Consultant Application Security Engineer Cloud Security Engineer Incident Response Specialist Security Software Developer Threat Intelligence Analyst

Level 4:Professional (Advanced Cybersecurity Skills and Incident Handling)

What You’ll Learn:
  • Gain expertise in advanced penetration testing, threat hunting, and incident response strategies
  • Develop skills for managing and mitigating advanced persistent threats (APTs) and large-scale breaches.
  • Master AI and ML integration for predictive threat intelligence and proactive security operations.
Real Tools, Real Practice :
Splunk Splunk (Advanced, with
AI Integration)
Palo Alto Networks Palo Alto Networks
AWS SageMaker AWS SageMaker
Checkmarx Checkmarx
Azure Sentinel Azure Sentinel
IBM X-Force IBM X-Force
Potential Use Case:
  • Simulate real-world attacks and defense scenarios through red team/blue team exercises, enhancing organizational readiness and closing critical security gaps.
  • Use ML models for real-time anomaly detection and mitigation in enterprise systems.
Certifications You Will Be Ready For:
CompTIA Security+ CompTIA Security+
Offensive Security Certied Professional (OSCP) Offensive Security
Certied Professional (OSCP)
GIAC Certied Incident Handler (GCIH) SEC 504 GIAC Certied Incident
Handler (GCIH) SEC 504
CompTIA Pentest+ CompTIA Pentest+
Azure Security Engineer Associate Azure Security Engineer Associate
After completion of the course , Job Roles you are ready for : Senior Penetration Tester Incident Response Manager Security Operations Center (SOC) Lead Threat Hunting Lead Lead Cybersecurity Analyst Cybersecurity Consultant Information Security Manager Risk Management Lead

Level 5: Expert (Advanced Cybersecurity Mastery and Leadership)

What You’ll Learn:
  • Master large-scale security operations, strategy, and leadership in cybersecurity.
  • Hands-on with AI-driven SOC operations for optimizing threat detection, response, and behavioral analytics.
  • Develop skills in managing enterprise-level security tools, network forensics, and auditing complex systems.
Real Tools, Real Practice :
Splunk Splunk (Advanced, with
AI Integration)
Palo Alto Networks Palo Alto Networks
Wireshark (Advanced) Wireshark (Advanced)
AWS SageMaker AWS SageMaker
Potential Use Case:
  • Designing and automating security operations for large organizations to detect and mitigate threats in real time.
  • Implementing behavioral analytics to identify and prevent insider threats across enterprise systems.
Certifications You Will Be Ready For:
Certification Icon CISSP (Certified Information
Systems Security Professional)
Certification Icon CISM (Certified Information
Security Manager)
GIAC Security Essentials (GSEC 401) GIAC Security Essentials
(GSEC 401)
Certification Icon Certified Information Systems
Auditor (CISA)
After completion of the course , Job Roles you are ready for : Chief Information Security Officer (CISO) Security Architect Cybersecurity Manager Senior Information Security Consultant Forensic Computer Analyst Compliance Auditor Cybersecurity Researcher Security Policy Analyst Cybersecurity Trainer Data Privacy Officer

Level 1: Novice (Introduction to Business Analysis)

What You’ll Learn:
  • Business Analysis Fundamentals
  • Introduction to Stakeholder Engagement and Process Mapping
  • Basic Data Reporting and Analysis
    • AI/ML Knowledge:
  • Introduction to Artificial Intelligence (AI) and Machine Learning (ML), and how they are transforming business analysis and decision-making processes.
Real Tools, Real Practice:
Microsoft Excel Microsoft Excel
(Basic proficiency with
AI-powered add-ons for
predictive models)
Google Sheets Google Sheets
(Basic AI-powered features)
Bokeh Bokeh (for simple
data visualizations)
Potential Use Case:
  • Enhancing customer service feedback systems using basic AI-powered data insights.
Certifications You Will Be Ready For:
Entry Certificate in Business Analysis Entry Certificate in
Business Analysis (ECBA)
Certified Analytics Professional Certified Analytics Professional (CAP)
AI for Everyone AI for Everyone (Optional)
After completion of the course, Job Roles you are ready for: Junior Business Analyst Data Entry Specialist Process Analyst (Entry Level) Business Support Analyst

Level 2: Practitioner

What You’ll Learn:
  • Agile Practices in Business Analysis
  • Intermediate Data Analytics and Visualization
  • Managing Backlogs in Agile Projects
    • AI/ML Knowledge:
  • Basics of predictive analytics and using machine learning models to support business decisions. Introduction to automated data visualization and its applications.
    • Real Tools, Real Practice:
    Oracle NetSuite Oracle NetSuite
    (Basic AI-powered ERP features)
    Power BI Power BI (AI features
    like AI Insights
    and Predictive Forecasting)
    Google Cloud AutoML Google Cloud AutoML
    (Introduction to custom
    ML model creation)
    Excel Excel (Intermediate proficiency
    with data modeling)
    Potential Use Case:
    • Optimizing product development cycles using Agile frameworks and AI-driven analytics.
    Certifications You Will Be Ready For:
    Adobe Analytics Adobe Analytics
    Agile Analysis Certification Agile Analysis Certification (AAC)
    CompTIA Data+ CompTIA Data+
    Google Data Analytics Professional Certificate Google Data Analytics Professional Certificate
    Microsoft Certified: Azure AI Fundamentals Microsoft Certified:
    Azure AI Fundamentals
    After completion of the course, Job Roles you are ready for: Business Analyst Data Analyst Agile Business Analyst Product Owner (Entry Level)

    Level 3: Advanced

    What You’ll Learn:
  • Advanced Business Process Modeling
  • Managing Cross-functional Teams and Complex Data Sets
  • Data-Driven Decision-Making for Enterprise Solutions
    • AI/ML Knowledge:
  • Implementing machine learning models to enhance process automation, risk analysis, and forecasting. Using AI for more advanced business insights.
    • Real Tools, Real Practice:
    Xplenty Xplenty (Machine learning
    for data integration)
    Domo Domo (AI-powered analytics
    and visualization)
    Power BI Power BI (Advanced AI
    integration with Azure
    ML for predictive analytics)
    IBM Watson IBM Watson (AI-driven
    insights for business intelligence)
    Potential Use Case:
    • Building an enterprise-wide reporting system using machine learning models to improve data-driven decision-making.
    Certifications You Will Be Ready For:
    Certified Business Analysis Professional Certified Business Analysis
    Professional (CBAP)
    Certification of Capability in Business Analysis Certification of Capability
    in Business Analysis (CCBA)
    Microsoft Certified: Power BI Data Analyst Associate Microsoft Certified: Power
    BI Data Analyst Associate
    IBM AI Engineering Professional Certificate IBM AI Engineering
    Professional Certificate
    After completion of the course, Job Roles you are ready for: Senior Business Analyst Risk Analyst Business Systems Analyst Strategy Analyst

    Level 4: Expert

    What You’ll Learn:
  • Leading Strategic Business Analysis Initiatives
  • Risk and Change Management for Global Operations
  • Data Integration and Automation in Large Enterprises
    • AI/ML Knowledge:
  • Applying AI/ML algorithms for strategic decision-making in complex business scenarios. Leading AI transformation initiatives within organizations, including ethical and governance implications.
    • Real Tools, Real Practice:
    Domo Domo (Enterprise AI
    and ML-powered business solutions)
    Bokeh Bokeh
    (Custom AI-driven visualizations)
    TensorFlow TensorFlow (Custom AI/ML
    model creation for
    advanced decision-making)
    Azure Machine Learning Azure Machine Learning
    (Enterprise AI/ML model management)
    Potential Use Case:
    • Designing and leading a global business intelligence solution driven by AI and ML to improve strategic decision-making.
    Certifications You Will Be Ready For:
    PMI Professional in Business Analysis PMI Professional in
    Business Analysis (PMI-PBA)
    Certified Information Systems Auditor Certified Information Systems
    Auditor (CISA)
    Google Professional Machine Learning Engineer Google Professional Machine
    Learning Engineer Certification
    Certified Artificial Intelligence Practitioner Certified Artificial Intelligence
    Practitioner (CAIP)
    After completion of the course, Job Roles you are ready for: Lead Business Analyst Digital Transformation Consultant Enterprise Architect Chief Analyst

    Level 1: Beginner – Build Your Foundation

    What You’ll Learn:
    • Learn basic data cleaning and visualization techniques.
    • Hands-on experience with beginner-friendly tools.
    • Introduction to machine learning concepts.
    • Geographic data handling for beginners.
    • Build a foundational understanding of cloud computing.
    Real Tools,Real Practice :
    Tidyverse Tidyverse
    Jupyter Notebooks Jupyter Notebooks
    Anaconda Anaconda
    Orange Orange
    KNIME KNIME
    QGIS QGIS
    Potential Use Cases:
    • Basic Data Reporting: Create clean, visual reports for business insights.
    • Sales and Marketing Dashboards: Visualize key metrics in marketing and sales for small businesses.
    • Geospatial Analysis: Handle location-based data to analyze business logistics, customer demographics, and geographic trends.
    Certifications You’ll Be Ready For:
    IBM Data Science Professional Certificate IBM Data Science
    Professional Certificate
    Microsoft Certified Azure AI Fundamentals Microsoft Certified:
    Azure AI Fundamentals
    TensorFlow Developer Certificate TensorFlow Developer Certificate
    After completion of the course, Job Roles you are ready for: Data Analyst Marketing Data Analyst Financial Data Analyst Statistical Analyst Business Intelligence Analyst Data Visualization Specialist Database Administrator Operations Research Analyst GIS Analyst (Geographic Information Systems)

    Level 2: Intermediate – Strengthen Your Skills

    What You’ll Learn:
    • Build, train, and optimize machine learning models.
    • Work on big data tools to process large datasets.
    • Automate AI processes, from data preparation to model deployment.
    • Master intermediate-level cloud data analytics.
    • Explore techniques for complex spatial data analysis.
    Real Tools, Real Practice :
    Plotly Plotly
    Hadoop Hadoop
    Apache Spark Apache Spark
    H2O.ai H2O.ai
    DataRobot DataRobot
    TensorFlow TensorFlow
    PyTorch PyTorch
    ArcGIS ArcGIS
    Potential Use Cases:
    • Predictive Analytics: Build machine learning models to predict customer behavior, financial trends, or sales forecasts.
    • Big Data Analysis: Analyze large datasets in healthcare, retail, or finance for actionable insights.
    • Geospatial Insights: Use GIS tools to optimize supply chain routes, manage resources, or understand demographic patterns.
    Certifications You’ll Be Ready For:
    Microsoft Certified: Azure Data Scientist Associate Microsoft Certified:
    Azure Data Scientist Associate
    Cloudera Data Platform Generalist Certification Cloudera Data Platform
    Generalist Certification
    DASCA Senior Data Scientist (SDS) Data Science Council of America
    (DASCA) Senior Data Scientist (SDS)
    Google Cloud Professional Machine Learning Engineer Google Cloud Professional
    Machine Learning Engineer
    ArcGIS Specialist Certification ArcGIS Specialist Certification
    After completion of the course, Job Roles you are ready for: Data Scientist Machine Learning Engineer Cloud Data Engineer Big Data Engineer Data Analytics Consultant Predictive Analytics Specialist GIS Analyst Fraud Detection Analyst Quantitative Analyst Data Operations Engineer Automation Engineer Cybersecurity Data Analyst

    Level 3: Advanced – Master the Field

    What You’ll Learn:
    • Develop complex AI and deep learning models with TensorFlow, PyTorch, and Keras.
    • Implement cloud data pipelines and storage solutions with Snowflake and Google Cloud.
    • Advanced relational and graph database management using Neo4j.
    • Work on parallel computing using Dask for efficient big data processing.
    • Build machine learning systems that can scale with GraphLab Create.
    Real Tools, Real Practice :
    TensorFlow TensorFlow
    PyTorch PyTorch
    Keras Keras
    Snowflake Snowflake
    Neo4j Neo4j
    Dask Dask
    GraphLab Create GraphLab Create
    Potential Use Cases:
    • AI in Healthcare: Build deep learning models for disease prediction, medical image analysis, or personalized treatment.
    • Recommender Systems: Create personalized recommendation engines for e-commerce platforms, streaming services, or social media.
    • Fraud Detection: Use advanced machine learning to detect fraudulent transactions in real-time financial systems.
    Certifications You’ll Be Ready For:
    Certified Analytics Professional (CAP) Certified Analytics
    Professional (CAP)
    DASCA Principal Data Scientist (PDS) Data Science Council of America
    (DASCA) Principal Data Scientist (PDS)
    SAS Certified Data Scientist SAS Certified Data Scientist
    Open Certified Data Scientist (Open CDS) Open Certified Data
    Scientist (Open CDS)
    DeepLearning.AI TensorFlow Developer Certificate DeepLearning.AI TensorFlow
    Developer Certificate
    Google Cloud Professional Data Engineer Google Cloud Professional
    Data Engineer
    NVIDIA Deep Learning Institute Certificate NVIDIA Deep Learning
    Institute Certificate
    After completion of the course, Job Roles you are ready for: Senior Data Scientist Deep Learning Engineer AI Specialist Data Engineer Big Data Architect Research Scientist (AI & Data) NLP Engineer (Natural Language Processing) Data Architect Data Analytics Consultant Cloud Data Architect Machine Learning Engineer (Advanced) Statistical Modeling Expert

    Level 4: Expert – Become a Leader

    What You’ll Learn:
    • Develop complex AI and deep learning models.
    • Implement cloud data pipelines and storage solutions.
    • Manage advanced relational and graph databases.
    • Work on parallel computing for efficient big data processing.
    • Build machine learning systems that can scale.
    Real Tools, Real Practice :
    DeepMind's Lab DeepMind's Lab
    OpenAI's GPT-4 Playground OpenAI's GPT-4 Playground
    Palantir Foundry Palantir Foundry
    Google Cloud BigQuery Google Cloud BigQuery
    Amazon SageMaker Amazon SageMaker
    Rasa Rasa
    Potential Use Cases:
    • Autonomous Systems: Apply reinforcement learning to robotics, self-driving cars, and automated decision-making.
    • Generative AI: Build cutting-edge applications for content creation, natural language understanding, and personalized user experiences.
    • Big Data Integration: Use Palantir Foundry for large-scale data collaboration and analysis across enterprises, governments, and defense sectors.
    • AI-Powered Virtual Assistants: Build advanced virtual assistants for businesses using Rasa, enabling automated customer service and personal assistance.
    Certifications You’ll Be Ready For:
    SAS Certified Advanced Analytics Professional SAS Certified Advanced
    Analytics Professional
    SAS Certified Professional: AI and Machine Learning SAS Certified Professional:
    AI and Machine Learning
    Certified Reinforcement Learning Expert Certified Reinforcement Learning Expert
    Generative AI with Large Language Models Certification Generative AI with Large
    Language Models Certification (OpenAI)
    Palantir Foundry Certification Palantir Foundry Certification
    AWS Certified Machine Learning Specialty AWS Certified Machine
    Learning Specialty
    After completion of the course, Job Roles you are ready for: Generative AI Specialist Reinforcement Learning Engineer AI Ethics Specialist Conversational AI Developer Senior Machine Learning Engineer Big Data Architect Automation Engineer (AI-Powered Systems) AI Research Scientist Data Scientist (Advanced) AI Product Manager Deep Learning Research Scientist Senior Quantitative Analyst

    Phase 1: Get in the Game

    Understand the playing field. Make your first big calls.

    • Take on your first executive role. Discover how marketing, finance, ops, and R&D interact — and why cross-functional thinking matters.
    • Decode your market
    • Align product, pricing, and positioning
    • Make small decisions, see big results

    Phase 2: Navigate the Storm

    Markets shift. Competitors act. Will you pivot or persist?

    • Respond to customer demand shifts
    • Budget under pressure, justify every trade-off
    • Balance sustainability with aggressive growth

    Phase 3: Lead with Vision

    You’ve survived the startup waves. Now, steer the ship.

    • Present results in a boardroom-style pitch
    • Reflect on key wins and missteps
    • Walk away with perspective that sticks

    A Learning Path That Mirrors the Real World

    No fluff. Just the tools, techniques, and workflows used in the industry.

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    Your learning experience

    Learning Experience
    Real-World Simulations

    Experience the pressures of running a business in a safe, simulated environment.

    Strategic Thinking

    Develop the critical skills to anticipate trends and outmaneuver competitors.

    Innovation-Driven

    Foster a culture of continuous improvement and innovation.

    Networking Opportunities

    Connect with like-minded individuals and build a strong professional network.

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