Jedha

Course Description:

Following this 2 weeks course, you will be introduced to the basis of Cyber Security on a practical level. Get all the fundamentals for you to learn the best techniques necessary to protect infrastructure. You will practice your first Pentests (Penetration tests), and assess the risks that your infrastructure incurs to dive into the world of Ethical Hacking. This program has been built with the idea of democratising Cyber Security because we want to go beyond the image of the “mysterious black box” that this field can often reflect.

During this course (full-time or part-time), students will learn:
- Entering the world of Cyber Security and networking
- Learn how to assess risks to better manage them | VPN’s and Proxies use
- Exploitation: Pentesting and Social Engineering
- Web Penetration and infrastructure monitoring

At the end of this course, you will get started in the incredible field of Cyber Security. You will understand why Cyber attacks can happen to everyone and not only the biggest organisations and will discover the Cyber world through a practical point of view. You will lead your first Cyber project, locating the maximum number of security breaches in a given infrastructure.

Subjects:
Ethical HAcking, CIA Triad, Defense-in-depth, OWASP, Networking, SOC analysis, Nmap, VPN, Proxies, Pentesting, Social Engineering, Backdoors, SQL injections, Javascript injections, Man in the Middle, Splunk, CSIRT, NIST, Pentesting & Ethical Hacking

Subjects:
SQL, JavaScript, Cyber Security, Ethical Hacking

Course Description:

Become a real ethical hacker and master the whole Cyber Security pipeline with a complete training. Acquire the expertise on all the most sought-after skills in the field and will explore all of its sub-domains. You will - in a practical way - learn how to protect your whole infrastructure from external attacks. What are those attacks ? How are they achieved ? And above all things, how to spot vulnerabilities and to solve those.

During this course (full-time or part-time), students will learn:
- Networking and web protocols (HTTP, IP), MAC addresses and DNS
- Information collecting to spot first infrastructure vulnerabilities
- Post exploitation, backdoors and audit report
- Wireless technologies, Red Team vs Blue Team

No less than 10 projects that you will lead during this whole program ! For each module, one project. This is the magic recipe for a perfect portfolio, but also for you to have skills that you feel 100% confident in. From A to Z, you will follow this course as if you were implementing your own infrastructure security.

Subjects:
Python for Cyber Security, password cracking, Spoofing, Man in the middle, IP, HTTP, DHCP, TCP & UDP, ARP, MAC Adresses, DNS setups, pharming attacks, Microsoft services, OSINT Framework, Reconnaissance, Burpsuite, Metasploit, Beef, Buffer Overflow, Active Directory, Bloodhound, Post-exploitation, Privilege escalation, Red Team vs Blue team workshops, White Malware and C&C regulations, Social Engineering, CVE (Common Vulnerabilities and Exposures), Wireless hacking

Subjects:
Python, Cyber Security

Course Description:

Our Data Essentials program will give you a solid foundation on which to build or evolve in the Data universe. Do you wish to obtain skills across the entire Data pipeline? You can continue with the Fullstack course and then the Lead course!

During this course (full-time or part-time), students will learn:
- Data Visualisation and Data Mining
- SQL
- Python & the useful concepts of statistics
- Python for Web Analytics
- Python for Machine Learning
- Machine Learning models

At the end of this program, you will be able to lead your first simple Data projects : retrieve the Data, clean and process it before analysing it. Then you will be able to build solid Machine Learning algorithms on this database : linear regression to predict phenomenon and logistic regression to conduct clustering analysis. This program is designed for you to discover the unlimited potential that offers Data Science . Additionally, students will gain lifetime access to our workshops, materials, and vibrant community. At the end of the program, graduates will obtain a certificate in Data Science that can be added to their resume and LinkedIn profile.

Subjects:
A/B Testing, Python notebooks, Data Analytics, SQL, Algorithms, Data Visualisation, Data Science, Machine Learning

Subjects:
A/B Testing, Jupyter Notebook, Data Analytics, SQL, Algorithms, Data Visualization, Data Science

Course Description:

At the end of this course, you will be equipped to become a data professional that’s capable of solving complex problems in organisations. As you will master the entire Data pipeline, this will enable further Data positions to be possible for you.

During this course (full-time or part-time), students will learn:
- Python expertise
- Exploratory Data Analysis
- Data collection, Web Scraping and ETL Processes
- Big Data Problems (AWS mastering)
- Machine Learning (Supervised and Unsupervised) & Deep Learning (State of the Art models)
- Model deployment in the Cloud
- Career Coaching & Data Projects

With a 15 projects portfolio, students will master the Data pipeline from A to Z, from Data Collection to AI models deployment. They will be able to fulfill their career goals in the sector (Freelance activity, job obtaining, start-up launch) as this program perfectly matches recruiters needs. Additionally, they will gain lifetime access to our workshops, materials, and vibrant community. Graduates will obtain a certificate in Data that can be added to their resume and LinkedIn profile.

Subjects:
Python, AWS, Github, AI models, EDA, SQL, Matplotlib, Plotly, Seaborn, Amazon Redshift, Apache Spark, Databricks, Spacy, Google Colab, Tensorflow, Docker, Kubernetes, Streamlit, MLFlow, Flask.

Subjects:
Github, Docker, Career Coaching, Python, Artificial Intelligence (AI), Data Analytics, SQL, Algorithms, Hadoop, Data Visualization, Data Science

Course Description:

At the end of this 3 weeks program, you will master all the main technologies used in Tech infrastructures. This program enables you to build your own Data architecture with the proper pipelines and to automate these pipelines. You will be able to manage deployed applications, and push your expertise to Reinforcement Learning. How you collect your data and maintain your model's performance at the performance level will no longer be a secret to you.

During this course (full-time or part-time), students will learn:
- Go deeper in your deployment expertise
- Docker & Kubernetes for Reinforcement Learning
- Pipeline construction, Streaming Data and Graph Data Science
- Workflow automation and Machine Learning monitoring

With no less than 5 mini-projects that you will lead during this program, you will be able to apply to the most technical jobs. Take a step forward in your career and deliver powerful insights to the infrastructure that you are working on, or you are building, depending on your specific needs.

Subjects:
Python, AWS, Docker, Kubernetes, Helm, Ray, Reinforcement Learning, Open AI Gym, RLin, Airbyte, Kafka, Neo4J, Airflow, Evidently AI, Data Engineering, Machine Learning Engineering

Subjects:
Docker, Neo4j, Python, Machine Learning, AWS