Engineering Drawings Courses

Coursera

Advancing Your Career in Computer Vision Engineering

Unlock career opportunities in computer vision by translating technical skills into portfolio artifacts, resume achievements, and confident interview communication for early-career AI engineers.

• Coursera
• 33 minutes
• Self-Paced
• Paid Course

Coursera

Career Development For Open Source Data Engineering

Unlock a job-ready data engineering career by building a compelling portfolio, optimizing your resume and LinkedIn, and mastering interviews with a concrete 30-day action plan using Airflow, dbt, and Spark.

• Coursera
• 1 hour 45 minutes
• Self-Paced
• Paid Course

Coursera

Data Engineering & Pipeline Reliability for Machine Learning

Master data engineering skills using Python and pandas to clean, encode, validate datasets, build ML pipelines, manage schema changes, and optimize compute costs for production-ready ML infrastructure.

• Coursera
• 9 hours 3 minutes
• Self-Paced
• Paid Course

Coursera

Data Modeling & Warehousing Fundamentals in Data Engineering

Master data warehousing essentials: design star schemas, apply normalization, use SQL window functions, configure replication, and implement incremental loading for scalable enterprise analytics.

• Coursera
• 9 hours 3 minutes
• Self-Paced
• Paid Course

Coursera

DevOps and CI/CD for Data Engineering Performance

Master DevOps practices for data engineering—covering Git conflict resolution, Docker containerization, Ansible automation, CI/CD pipelines, and query optimization to build production-ready, portfolio-worthy skills.

• Coursera
• 11 hours 58 minutes
• Self-Paced
• Paid Course

Coursera

Production ML Engineering: Packaging, APIs, and Testing

Master the end-to-end process of packaging ML models, building production APIs, implementing CI/CD workflows, and designing automated tests to deploy reliable machine learning systems.

• Coursera
• 11 hours 20 minutes
• Self-Paced
• Paid Course

Prompt Engineering Fundamentals

Master prompt engineering from fundamentals to advanced techniques, covering LLMs, structured frameworks, Chain of Thought reasoning, and real-world applications to boost productivity and AI integration.

• Coursera
• 3 hours 39 minutes
• Self-Paced
• Paid Course

Packt Credential

Prompt Engineering Masterclass - From Beginner to Advanced

Master prompt engineering from basics to advanced, building AI tools with OpenAI and Anthropic models, designing effective prompts, and creating real-world AI applications using Python.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 3 courses

Coursera Credential

Level Up: Advanced SQL for Data Engineering

Master advanced SQL skills for data engineering, covering ELT pipelines, lakehouse architecture, performance optimization, security, and data governance to excel in senior engineering roles.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 5 courses

Coursera Credential

Eyes on AI - Computer Vision Engineering

Master computer vision engineering by building, optimizing, and deploying AI systems for real-world applications like autonomous vehicles and medical imaging using PyTorch and MLOps practices.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 4 courses

Coursera Credential

Open source Data Engineering with Spark, dbt & Airflow

Master open-source data engineering using Apache Spark, dbt, and Airflow to build scalable pipelines, optimize performance, and deploy CI/CD workflows for production-ready data infrastructure.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 6 courses

Foundations of Site Reliability Engineering Training

Master Site Reliability Engineering with hands-on labs using Prometheus, Grafana, Jenkins, and Kubernetes. Learn SLIs, SLOs, chaos engineering, CI/CD, and incident management to build resilient cloud systems.

• Coursera
• 22 hours 22 minutes
• Self-Paced
• Paid Course

Packt

Foundations of AI Engineering

Discover Python programming, data science tools, and mathematical foundations essential for AI engineering through hands-on projects and real-world applications.

• Coursera
• 12 hours 54 minutes
• Self-Paced
• Paid Course

Scrimba Credential

AI Engineering

Learn to build cutting-edge AI apps using OpenAI API, open-source models, embeddings, vector databases, and LangChain. Gain practical skills in AI safety, agents, and next-gen app development.

• Coursera
• Self-Paced
• Paid Course
• 6 courses

Coursera

GenAI for Software Engineering Teams

Empowering software engineering teams with GenAI tools to enhance collaboration, productivity, and ethical AI integration in development workflows.

• Coursera
• 2 hours 1 minute
• Self-Paced
• Paid Course