Hello guys, Black Friday and Cyber Monday, also known as Cyber week 2025 is here early. And Coursera just dropped one of the best deals of the year. Coursera Plus is now 40% OFF — just $240 for 12 months (regular price $399). But here’s the catch: this deal expires soon, and once it’s gone, prices return to normal. If you’re serious about advancing your career in AI, Machine Learning, Deep Learning, Data Science, or Cloud Computing, this is the moment to act.
Let me also show you the top 5 courses you should absolutely take with your Coursera Plus subscription, and why this deal is the steal of the season.
Why This Black Friday Deal Matters? Why Join Coursera Plus?
Let’s break down the economics:
What you get with Coursera Plus at 40% OFF:
- Unlimited access to 10,000+ courses
- Professional certificates from Google, IBM, DeepLearning.AI, Stanford, MIT
- Guided projects and real-world applications
- Downloadable content for offline learning
- Resume-ready credentials
- No extra charges for certificates
Cost breakdown:
- Regular price: $399/year
- Black Friday price: $240/year
- You save: $159 (40% discount)
- Cost per course (if you take 10): $24 per course
- Cost per certificate (if you earn 5): $48 per certificate
For context: A single specialization certificate normally costs $39–49/month. With Coursera Plus at $240/year, you’re getting unlimited access for less than 5 months of individual course pricing.
This is genuinely one of the best deals Coursera offers all year.
Here is the link to - Get Coursera Plus at 40% OFF — $240/year
5 Best Courses and Certification You Should Take With Coursera Plus 2025–2026
Now, with unlimited access, which courses should you actually take? Let me recommend the five courses that will have the biggest impact on your career in 2025–2026.
1. IBM Machine Learning Professional Certificate
The Career Accelerator
This is my #1 recommendation. IBM’s Machine Learning certificate is practical, industry-recognized, and covers everything employers actually want to see.
What You’ll Learn:
- Supervised and unsupervised learning algorithms
- Regression, classification, clustering
- Model evaluation and hyperparameter tuning
- MLOps fundamentals (production ML)
- Real-world ML pipelines
- TensorFlow, scikit-learn, and other tools
- Building end-to-end ML projects
Why It’s Essential: This isn’t theoretical ML. IBM teaches production-ready machine learning. You learn not just how to build models, but how to deploy them at scale. That’s what employers pay premium salaries for.
Time Commitment: 6–8 weeks at 5–7 hours/week
Career Impact: IBM certificate is recognized globally. LinkedIn profile boost is real and immediate.
Included with Coursera Plus: Yes, fully included
Here is the link to - Take IBM Machine Learning Professional Certificate
2. DeepLearning.AI TensorFlow Developer Professional Certificate
Master Deep Learning Frameworks
If you want to build neural networks and deep learning models, this is the course. It’s hands-on, practical, and teaches TensorFlow — the most used deep learning framework.
What You’ll Learn:
- TensorFlow 2.x and Keras
- Building and training neural networks
- Convolutional Neural Networks (CNNs) for image recognition
- Recurrent Neural Networks (RNNs) for sequences
- Transfer learning and fine-tuning
- Building production-grade deep learning models
- Real computer vision projects
Why It’s Essential: Deep learning skills command premium salaries. Companies building computer vision, NLP, and autonomous systems need TensorFlow expertise. This certificate proves you have it.
Time Commitment: 8–10 weeks at 6–8 hours/week
Portfolio Impact: You build actual computer vision projects you can showcase
Included with Coursera Plus: Yes, fully included
Here is the link to join join - DeepLearning.AI TensorFlow Developer Certificate
3. Generative AI with Large Language Models
The Cutting Edge
This course teaches you how LLMs actually work — and how to fine-tune and deploy them. Given the AI explosion in 2025, this skill is incredibly in-demand.
What You’ll Learn:
- How large language models work internally
- Transformer architecture deep-dive
- Fine-tuning LLMs for specific tasks
- Prompt engineering and optimization
- Retrieval-Augmented Generation (RAG)
- Deploying LLMs in production
- Building AI applications with LLMs
Why It’s Essential: LLM engineering is the hottest skill in tech right now. Companies are paying $150K-200K+ for engineers who understand LLMs at this level.
Time Commitment: 4–5 weeks at 5–6 hours/week (compact but dense)
Career Impact: This is the course that positions you for AI engineer roles
Included with Coursera Plus: Yes, fully included
Here is the link to join - Generative AI with Large Language Models
4. Google Cloud Machine Learning Engineer Professional Certificate
If you want to combine cloud computing with machine learning, Google’s certificate is perfect. It teaches you how to build, deploy, and manage ML models on Google Cloud Platform.
What You’ll Learn:
- Google Cloud Platform fundamentals
- Building ML models with Vertex AI
- AutoML for quick model development
- Deploying models to production on GCP
- ML pipelines and workflows
- BigQuery for data analysis
- Model monitoring and management
- Real-world GCP ML projects
Why It’s Essential: Cloud ML engineering is where the money is. Every company is moving ML workloads to the cloud. Google Cloud experience is valuable, marketable, and well-compensated.
Time Commitment: 6–8 weeks at 5–7 hours/week
Cloud Credential: Google recognizes this as valid preparation for professional ML engineer certification
Included with Coursera Plus: Yes, fully included
Here is the link to join - Google Cloud Machine Learning Engineer Professional Certificate
5. IBM Data Engineering Professional Certificate
The Foundation for Everything
Before you can do machine learning, you need data. This course teaches you how to work with big data, build data pipelines, and manage data at scale.
What You’ll Learn:
- SQL for data manipulation
- Python for data engineering
- Apache Spark for big data processing
- Data warehousing and data lakes
- ETL pipelines
- Data pipelines with Apache Airflow
- Real-world data engineering projects
- DataOps best practices
Why It’s Essential: Data engineers are in high demand and often paid more than data scientists. This certificate teaches a complementary, highly valuable skillset. If you want to be full-stack in data/ML, this is essential.
Time Commitment: 6–8 weeks at 5–7 hours/week
Career Impact: Data engineering skills open doors to high-paying roles
Included with Coursera Plus: Yes, fully included
Here is the link to join - IBM Data Engineering Professional Certificate
Conclusion
That's all about why Join Coursera Plus on this Black Friday. If you ask me, Coursera Plus at 40% OFF ($240/year) is genuinely one of the best deals for tech professionals in 2025.
For the price of two fancy dinners, you get unlimited access to 10,000+ courses from top universities and companies. You can earn multiple professional certificates. You can build a portfolio that lands jobs.
The five courses I recommended will:
- Teach you production-ready ML/AI skills
- Give you recognizable credentials
- Build your portfolio
- Position you for high-paying roles
Don’t overthink this. The deal ends soon. If you’re serious about advancing your career in 2025–2026, this is your moment. Right now, Coursera Plus at 40% OFF: ~$239.40 for 12 months (regularly $399)
You pay $239.40 and get unlimited access to all of these courses plus 2,995 others. You could take 10 courses and it pays for itself.
This 40% discount is limited. When it expires, prices go back to regular pricing.
Here is the link to - Get Coursera Plus at 40% OFF
Happy learning!
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Thanks for reading this article. If you like this article and these Coursera AI courses then please share them with your friends and colleagues. If you have any questions or feedback, then please drop a note.
P. S. — By the way, if you find Coursera courses useful, which they are because they are created by reputed companies and universities around the world, I suggest you join the Coursera Plus, a subscription plan from Coursera which gives you unlimited access to their most popular courses, specialization, professional certificate, and guided projects. It cost around $399/year but its complete worth of your money as you get unlimited certificates.
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