Google Courses:
1. Google Data Analytics:
→ https://lnkd.in/dMpgZ5YD
Practice Command: Use `pandas` in Python to analyze datasets:
import pandas as pd
data = pd.read_csv('data.csv')
print(data.describe())
2. Google Project Management:
→ https://lnkd.in/d8pHAARA
Practice Command: Use `Trello` or `Asana` for project tracking.
3. Foundations of Project Management:
→ https://lnkd.in/dstVwWRT
Practice Command: Create a Gantt chart using `Microsoft Project` or Excel.
4. Google to Generative AI:
Practice Command: Generate text using OpenAI’s GPT:
import openai openai.Completion.create(engine="davinci", prompt="Hello, world!")
5. Google Cybersecurity:
Practice Command: Use `nmap` for network scanning:
nmap -sP 192.168.1.0/24
6. Google UX Design:
Practice Command: Use `Figma` for prototyping.
7. Google Digital Marketing & E-commerce:
→ https://lnkd.in/dGs9M_pp
Practice Command: Use `Google Analytics` to track website traffic.
8. Google IT Support:
→ https://lnkd.in/ducYBhxj
Practice Command: Use `chkdsk` in Windows to check disk errors:
[cmd]
chkdsk C: /f
[/cmd]
9. Web Applications for Everybody Specialization:
→ https://lnkd.in/dADxN-Hx
Practice Command: Create a simple web app using Flask:
from flask import Flask
app = Flask(<strong>name</strong>)
@app.route('/')
def home():
return "Hello, World!"
if <strong>name</strong> == '<strong>main</strong>':
app.run()
10. Get Started with Python:
Practice Command: Run a Python script:
python3 script.py
AI Courses:
1. ChatGPT for Beginners:
Practice Command: Use OpenAI API to generate text:
import openai openai.Completion.create(engine="davinci", prompt="Explain AI in simple terms.")
2. Generative AI for Project Managers:
→ https://lnkd.in/dBkj-C_a
Practice Command: Use AI tools like `Notion AI` for project planning.
3. Generative AI for Product Managers:
→ https://lnkd.in/dEvwQsey
Practice Command: Use `Jira` with AI plugins for product management.
4. Navigating Generative AI for Leaders:
Practice Command: Use AI-driven analytics tools like `Tableau`.
5. Generative AI for Data Analysts:
Practice Command: Use `TensorFlow` for data analysis:
import tensorflow as tf model = tf.keras.Sequential([tf.keras.layers.Dense(units=1, input_shape=[1])]) model.compile(optimizer='sgd', loss='mean_squared_error')
6. Generative AI for Software Developers:
Practice Command: Use GitHub Copilot for code suggestions.
What Undercode Say:
The landscape of IT, cybersecurity, and AI is rapidly evolving, and staying ahead requires continuous learning. The courses listed above provide a solid foundation in key areas such as data analytics, cybersecurity, AI, and project management. By leveraging tools like Python, TensorFlow, and OpenAI, you can enhance your technical skills and stay competitive in the job market. Additionally, mastering Linux commands like `nmap` for network scanning or `chkdsk` for disk maintenance can significantly boost your efficiency in IT roles. Whether you’re a beginner or an experienced professional, these resources offer valuable insights and practical skills to help you excel in your career. Keep exploring, keep learning, and stay ahead of the curve.
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References:
Hackers Feeds, Undercode AI
