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2 | 2 | authors: |
3 | 3 | - valeriiakuka |
4 | 4 | description: Discover DataTalks.Club's free online courses in Machine Learning, Data Engineering, MLOps, LLMs, and Stock Market Analytics. Learn practical skills, earn certificates, and join a supportive community. |
| 5 | +description: Discover DataTalks.Club's free online courses in Machine Learning, Data Engineering, MLOps, LLMs, and Stock Market Analytics. Learn practical skills, earn certificates, and join a supportive community. |
5 | 6 | image: images/posts/2024-04-11-guide-to-free-online-courses-at-datatalks-club/cover.jpg |
6 | 7 | layout: post |
7 | 8 | subtitle: Earn Certificates, Get Practical Projects & Learn Machine Learning, Data Engineering, and MLOps, LLMs, Analytics in Stock Markets |
@@ -32,10 +33,11 @@ DataTalks.Club offers a range of free online courses in Machine Learning, Data E |
32 | 33 |
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33 | 34 | <figure> |
34 | 35 | <img src="/images/posts/2023-08-17-machine-learning-zoomcamp/ml_zoomcamp_overview_horizontal.png" /> |
| 36 | +<img src="/images/posts/2023-08-17-machine-learning-zoomcamp/ml_zoomcamp_overview_horizontal.png" /> |
35 | 37 | <figcaption>Technologies used in the Machine Learning Zoomcamp</figcaption> |
36 | 38 | </figure> |
37 | 39 |
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38 | | -[Machine Learning Zoomcamp](#machine-learning-zoomcamp) is a free 4-month course teaching machine learning engineering. You'll learn Python ML basics through to production deployment, build real projects, and join a supportive community. Next cohort starts September 2025. |
| 40 | +[Machine Learning Zoomcamp](https://datatalks.club/blog/machine-learning-zoomcamp.html) is a free 4-month course teaching machine learning engineering. You'll learn Python ML basics through to production deployment, build real projects, and join a supportive community. Next cohort starts September 2025. |
39 | 41 |
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40 | 42 | ### Prerequisites |
41 | 43 |
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@@ -101,13 +103,12 @@ You'll spend the first six weeks learning and practicing each part of the data e |
101 | 103 |
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102 | 104 | Technologies you'll learn: |
103 | 105 |
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104 | | -- **Infrastructure:** Docker, PostgreSQL, Google Cloud Platform (GCP), Terraform |
105 | | -- **Orchestration:** Mage.AI, Google Cloud Storage |
106 | | -- **Data Warehousing:** BigQuery, SQL |
107 | | -- **Analytics:** dbt, Looker Studio |
108 | | -- **Processing:** Apache Spark, Spark SQL |
109 | | -- **Streaming:** Apache Kafka, KSQL, Faust |
110 | | -- **Programming:** Python, SQL |
| 106 | +- Docker |
| 107 | +- Postgres |
| 108 | +- BigQuery |
| 109 | +- dbt |
| 110 | +- Apache Spark |
| 111 | +- Apache Kafka |
111 | 112 |
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112 | 113 | <div style="text-align: center; margin: 2em 0;"> |
113 | 114 | <div style="display: inline-block; background: #28a745; padding: 0.5em 2em; border-radius: 8px; box-shadow: 0 4px 6px rgba(50, 50, 93, 0.11), 0 1px 3px rgba(0, 0, 0, 0.08); transition: all 0.15s ease;"> |
@@ -151,16 +152,11 @@ The course guides you step-by-step through each stage of the MLOps cycle startin |
151 | 152 |
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152 | 153 | Technologies you'll learn: |
153 | 154 |
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154 | | -- Python |
155 | | -- Docker |
156 | | -- OpenAI API |
157 | | -- LangChain |
158 | | -- Hugging Face |
159 | | -- Ollama |
160 | | -- Elasticsearch |
161 | | -- Qdrant |
162 | | -- dlt |
163 | | -- Streamlit |
| 155 | +- MLFlow |
| 156 | +- Flask |
| 157 | +- AWS |
| 158 | +- Mage |
| 159 | +- Evidently AI |
164 | 160 |
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165 | 161 | <div style="text-align: center; margin: 2em 0;"> |
166 | 162 | <div style="display: inline-block; background: #28a745; padding: 0.5em 2em; border-radius: 8px; box-shadow: 0 4px 6px rgba(50, 50, 93, 0.11), 0 1px 3px rgba(0, 0, 0, 0.08); transition: all 0.15s ease;"> |
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