Generative AI Project Development

Self-Paced Learning
30 Min
Beginner

Learn to build, fine-tune, and optimize AI-driven projects with practical techniques in generative AI, prompt engineering, and model development using AWS Bedrock tools.

$ 9.99
Self-Paced

Unlock the potential of generative AI by learning how to effectively develop AI-driven projects. This course provides a comprehensive guide to working with AI models, covering key techniques such as prompt engineering, model fine-tuning, and integrating AI agents. Designed for professionals looking to build real-world AI solutions, the course offers practical insights into using tools like AWS Bedrock, selecting foundational models, and applying best practices for AI project success.


What You Will Learn:

  • Principles of Generative AI and Project Development
    Understand the foundational concepts of generative AI and how to apply them in real-world projects. Learn the core principles behind prompt engineering and how to craft prompts that lead to precise AI outputs.

  • Advanced Techniques in AI Project Optimization
    Dive into advanced techniques for optimizing generative AI models. Explore how to fine-tune models and adapt them to specific tasks, enhancing project outcomes and efficiency.

  • Building AI Agents and Knowledge Bases
    Gain hands-on experience in developing AI agents and integrating knowledge bases for enhanced project functionality. Learn how to create AI systems capable of complex interactions and decision-making.


Key Features:

  • Comprehensive coverage of generative AI project development and best practices.
  • Practical guidance on using AWS Bedrock tools to streamline AI interactions.
  • Advanced techniques for fine-tuning AI models and improving project performance.
  • Detailed demonstrations of AI agent development and knowledge base integration.


Who Should Take This Course:

  • AI developers, data scientists, and project managers looking to master generative AI for real-world applications.
  • IT professionals interested in building and optimizing AI-driven projects.
  • Business leaders seeking to leverage generative AI for innovative solutions.


Prerequisites:

A basic understanding of AI and cloud platforms like AWS is recommended.


Course Format:

  • Duration: 4-6 hours
  • Level: Intermediate
  • Delivery: Self-paced with interactive modules, hands-on labs, and real-world examples.


By the end of this course, you'll have the skills to develop, fine-tune, and optimize generative AI projects, enabling you to build sophisticated AI solutions tailored to your business needs.

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Meet the Coaches

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Sudhanshu Pandey

Software Engineer

Sudhanshu is Redhat Certified and a Computer Science graduate. He has worked on multiple technologies including Devops, ML, Python, Redhat Linux, MySQL, MongoDB, Cloud Computing, web development and mobile app development. He is currently working as an ML engineer for a startup and as a trainer on a content delivery team for Linuxworld.

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Khalil Demeri​

Cloud Solutions Architect

Khaleel has many years of experience in servers administration on Linux and Windows platforms, managing 4000+ servers running different flavors of Linux and web hosting control panels. He helps the team to deal with Windows (MCSE) and Linux Server related issues and services administration. Install, configure and integrate system/solution/OS at site and remotely.

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Saurabh Khan​

Cloud Coach

Saurabh is an enthusiastic instructor and accomplished Cloud Engineer. With a solid background in architecting cloud solutions and hands-on experience in configuring and deploying applications on leading cloud platforms like Azure, GCP, and AWS, Saurabh possesses a wealth of knowledge to share with learners.

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John Morah

Azure Architect

John is an experienced instructor and highly skilled Cloud Architect who brings a wealth of technical expertise to the table. With a career that began in January 2001, John has been fixing computers and providing technical training and support on Microsoft and Google technologies for over two decades.

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Arjun Sasikumar

Cloud Architect

Arjun has 10+ years of IT experience. Currently working as a Google Cloud Consultant in a Multi-National Company. He is holding certifications in Google Cloud Digital Leader , Google Cloud Associate Cloud Engineer and Google Cloud Professional Cloud Architect.

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Godfrey Chatira

Azure Solutions Architect

An experienced Azure Solutions Architect, with a proven track record of designing and implementing complex cloud solutions on the Microsoft Azure platform. With expertise in cloud architecture, infrastructure, security, and governance, I help organizations to maximize their investments in cloud by providing tailored solutions that align with business goals and technical requirements.

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Don Restarone

Software Engineer

End to end software architect with a proven track record for building high achieving MVP's, enterprise applications and unlocking millions of dollars in revenue for startups and founders.

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Fady Ibrahim

Google Cloud Champion Innovator

Google Cloud Champion Innovator specializing in Modern Architecture. Fady is also a Google Cloud Insider and Google Cloud Authorized Trainer.

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Gouthami Matavalam​

Senior Technical Architect

A dynamic and positive Software Engineering coach with a knack for strategic problem-solving and troubleshooting. With extensive experience in Java and Java Frameworks, Gouthami brings a structured and creative approach to coaching, helping clients achieve their personal and professional goals through tailored guidance and support. Her enthusiasm and expertise make learning engaging and effective.

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Rahees Khan

Cloud Engineer

With a Bachelor of Technology degree in Computer Science from Lovely Professional University, I have a strong foundation in modern application architectures and microservices-based deployments. I have demonstrated proficiency in Docker, Kubernetes, and OpenShift, as well as Infrastructure as Code tools such as Ansible and Terraform. I have leveraged my skills to optimize applications across Kubernetes environments, minimize vulnerabilities in microservices, and automate the provisioning of infrastructure on Google Cloud.

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Jeff Fudge

Director of Solutions Architecture & Engineering

Things I am passionate about: Technology, Community, Cyber Security, AWS and all things Cloud. I have strengths in cloud migration and strategy, PCI compliance, infrastructure consolidation and the design and implementation of high performance architectures. I enjoy working with business leadership and external partners on digital strategy and solution roadmaps. What I've been: Cloud Practice Director, CIO, CTO, VP of Technology, Director of Infrastructure. What I am now: Director of Solutions Architecture & Engineering at JetSweep and AWS User Group Leader. Who I am: A passionate, high energy, sarcastic, "glass is probably fuller than it looks" kind of guy.

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