The Top 27 New DataCamp Courses of 2024

As we close out the year, it’s the perfect time to reflect on some of the most impactful courses and tracks we’ve launched. With well over 100 new courses launched this year, from cutting-edge AI tools to essential cloud technologies and career-focused tracks, this roundup highlights some of the top courses that can help you stay ahead in your career. You can also check out our rundown of the best articles we've released and the best podcasts of the year.

Top AI and Machine Learning Courses

Artificial intelligence is no longer a buzzword—it’s a transformative force reshaping industries. These courses focus on the skills and tools needed to build, fine-tune, and explain AI systems.

1. Working with Llama 3

Learn to run open-source LLMs locally for enhanced privacy and cost savings. Build custom personas and adapt models to your unique needs.

2. Fine-Tuning with Llama 3

Take LLMs to the next level with fine-tuning techniques that make your models smarter and more efficient.

3. Developing LLM Applications with LangChain

Seamlessly integrate LLMs with other tools to create dynamic, data-driven applications.

4. Retrieval Augmented Generation (RAG) with LangChain

Overcome LLM knowledge limitations by connecting external data sources for real-time, accurate responses.

5. Reinforcement Learning from Human Feedback (RLHF)

Teach AI systems to align with human values through hands-on reinforcement learning techniques.

6. Explainable AI in Python

Build trustworthy AI by demystifying model behaviors with tools like SHAP and LIME.

7. Responsible AI Practices

Explore the ethical and regulatory frameworks shaping the future of AI, from mitigating bias to managing risk.

8. Artificial Intelligence (AI) Leadership

Equip yourself to lead AI initiatives, monetize AI solutions, and navigate regulatory pressures with confidence.

9. Developing AI Systems with the OpenAI API

Master production-ready AI development by integrating OpenAI tools and creating scalable applications.

Top Cloud and Infrastructure Courses

Cloud technologies and containerization are the backbone of modern software systems. These courses empower you to master the platforms and tools driving innovation.

10. AWS Cloud Technology and Services Concepts

Explore AWS’s robust ecosystem, from compute to analytics, and get hands-on with the AWS console.

11. Understanding Microsoft Azure Architecture and Services

Prepare for the AZ-900 certification by learning to design scalable cloud infrastructure.

12. Intermediate Docker

Take your containerization skills further with Docker Compose, multi-stage builds, and inter-container networking.

13. Introduction to Kubernetes

Learn Kubernetes fundamentals to deploy and orchestrate scalable containerized applications in real-world environments.

Top Programming and Development Courses

From APIs to version control, these courses focus on essential programming skills to develop efficient, scalable applications.

14. Introduction to FastAPI

Build high-performance APIs using Python, mastering CRUD operations, validation, and async code execution.

15. Introduction to APIs in Python

Dive into REST APIs, learning how to integrate them into workflows and applications.

16. Introduction to Databricks

Modernize your data architecture with Databricks’ Lakehouse platform, including SQL queries and data integration.

17. Introduction to Data Versioning with DVC

Streamline ML workflows by mastering data version control, pipelines, and experiment tracking.

18. Vector Databases for Embeddings with Pinecone

Enable AI applications like semantic search and RAG by mastering vector databases and retrieval techniques.

19. Introduction to Java

Learn the foundations of one of the world’s most widely-used programming languages. This beginner-friendly course introduces key concepts like variables, control flow, and program structure, setting you on the path to building your own Java applications.

Top Analytics and Visualization Courses

Enhance your decision-making skills by mastering tools that transform raw data into actionable insights.

20. Financial Modeling in Excel

Build financial models, perform scenario analyses, and calculate NPV and IRR to make data-driven decisions.

21. Advanced Excel Functions

Unlock the power of Excel with advanced features like dynamic ranges, database functions, and XLOOKUP.

22. Intermediate Power Query in Excel

Learn advanced data integration and transformation techniques to get more out of Power Query.

23. Power BI for End Users

Turn data into insights by navigating Power BI Service and applying it to practical business scenarios.

Top Career-Focused Tracks

Whether you're just entering the field or advancing your career, these tracks offer structured learning paths to help you achieve your goals.

24. Machine Learning Engineer Career Track

Dive into MLOps, deployment, and monitoring to prepare for an exciting career in machine learning.

25. Data Engineer in Python Career Track

Focus on Python-powered data engineering workflows, from pipelines to Airflow.

26. Artificial Intelligence (AI) Leadership

Learn how to lead AI initiatives, build trust with explainable AI, and create product-driven solutions.

27. OpenAI Fundamentals

Explore the OpenAI API and start building diverse AI-powered applications like chatbots, semantic search engines, and recommendation systems. Learn state-of-the-art prompting techniques and hands-on coding to create context-aware, real-world solutions.

Final Thoughts 

The demand for data science and AI skills continues to grow across industries. This list reflects some of the most critical skills for 2025 and beyond, from cloud infrastructure and programming to ethical AI practices. Whether you’re an aspiring machine learning engineer, a seasoned data scientist, or a business leader looking to harness AI, these courses offer actionable learning that drives results.

Start your journey with these top courses today and take the next step in your data career. The future of work is data-driven—make sure you’re ready!