Reservoir Engineering Courses

Packt

AI Engineering and Deployment

Master TensorFlow, CNNs, RNNs, and AI agent frameworks like AutoGPT to build, deploy, and scale ML models with ethical considerations for real-world applications.

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

Edureka Credential

Agentic AI Engineering

Master building intelligent AI agents using LangChain, LangGraph, and MCP frameworks to create multi-step workflows, stateful systems, and complex agent architectures.

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

KodeKloud

Data Engineering Essentials

Master MLOps-ready data engineering with Kafka, Spark, and Airflow to build scalable, automated pipelines that bridge raw data to production AI systems.

• Coursera
• 5 hours 27 minutes
• Self-Paced
• Paid Course

Coursera Credential

LLM Engineering That Works: Prompting, Tuning, and Retrieval

Master production-grade LLM systems through hands-on engineering, from prompt design to deployment, evaluation, and ethical AI practices for scalable applications.

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

LearnKartS

Data Engineering Foundations on AWS

Discover AWS data engineering fundamentals through hands-on experience with S3, EBS, EFS, ETL pipelines, SQL, and data modeling to build job-ready cloud skills for in-demand roles.

• Coursera
• 5 hours 21 minutes
• Self-Paced
• Paid Course

Packt

ChatGPT and Prompt Engineering for Software Development

Unlock ChatGPT's potential to transform your software development workflow through practical applications in coding, testing, Docker, and system design.

• Coursera
• 7 hours 18 minutes
• Self-Paced
• Paid Course

Packt

Advanced Prompt Engineering and Memory Management

Master advanced prompt engineering techniques, memory management, and RAG systems to optimize LLM performance through hands-on projects and real-world applications.

• Coursera
• 6 hours 7 minutes
• Self-Paced
• Paid Course

Packt

Introduction to Data Engineering on AWS

Master AWS Glue and Redshift to build scalable ETL pipelines, optimize data warehousing, and transform raw data into actionable insights for modern cloud-based analytics workflows.

• Coursera
• 8 hours 25 minutes
• Self-Paced
• Paid Course

AI Prompt Engineering for the Government Workforce (Live Online)

Learn how to design effective AI prompts to improve government operations with this practical, beginner-friendly course.

• CourseHorse
• 4 hours
• Self-Paced
• $675.00

Edureka

Applied Analytics Engineering and Visualization with dbt

Master practical analytics engineering with dbt - refactor models, optimize performance, implement data quality tests, and create executive dashboards for data-driven insights.

• Coursera
• 9 hours 26 minutes
• Self-Paced
• Paid Course

Coursera

CTO Excellence: Driving Engineering Excellence

Master strategic technology leadership by aligning engineering with business value, building high-performing teams, and implementing innovation frameworks from IBM, Target, and Spotify.

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

Get Started with AI Prompt Engineering

Discover how to craft effective AI prompts that enhance team workflows and decision-making in agile environments while learning responsible AI integration practices.

• Coursera
• 2 hours 15 minutes
• Self-Paced
• Paid Course

Coursera Credential

Data Pipeline Engineering & Analytics

Master automated ETL processes, SQL optimization, dimensional modeling, and interactive dashboards while analyzing user behavior to build robust data infrastructure that drives business impact.

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

EDUCBA Credential

Apache Avro & Kafka Data Engineering Projects

Master Apache Avro & Kafka through hands-on projects building serialization pipelines, real-time streaming systems, and enterprise search solutions for large-scale data platforms.

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

Packt Credential

Data Engineering on AWS - The Complete Training

Master AWS data engineering by building scalable pipelines, processing big data with EMR, streaming with Kinesis, and creating data lakes using Glue, Redshift, and other key services.

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