What you'll get
- 22+ Hours
- 5 Courses
- Course Completion Certificates
- Self-paced Courses
- Technical Support
- Case Studies
Synopsis
- Understand the core concepts of AI and translate real business needs into AI solutions.
- Learn the basics of Machine Learning, including how models are designed and trained.
- Explore Deep Learning techniques, neural networks, and optimization processes.
- Master key Natural Language Processing (NLP) methods for interpreting and generating human language
- Gain foundational skills in Computer Vision to analyze and work with visual data.
- Dive into Generative AI, its model structures, and practical content generation approaches.
- Discover proven techniques to identify and minimize AI hallucinations for dependable results.
- Deploy AI models using AWS Cloud, covering implementation and production workflows.
- Apply AI to solve industry challenges, including intelligent market forecasting, finance analytics, hiring automation, personal brand enhancement, and customer insight profiling in a single unified learning track.
- Build knowledge of responsible AI principles, ethical guidelines, and risk-aware development.
- Learn how to plan, create, and scale high-performance AI systems aligned with modern organization needs.
Content
| Courses | No. of Hours | Certificates | Details |
|---|---|---|---|
| AI Fundamentals and Core Concepts | 5h 41m | ✔ | View Curriculum |
| Advanced AI and Technologies | 4h 18m | ✔ | View Curriculum |
| Generative AI and Applications | 9h 02m | ✔ | View Curriculum |
| Research, Performance, and Writing with AI | 2h 39m | ✔ | View Curriculum |
| Ethical and Future AI Considerations | 2h 46m | ✔ | View Curriculum |
Description
The Generative AI course is a practical, career-focused training program designed to address real business challenges using Artificial Intelligence. It introduces foundational AI knowledge and advances into key specializations such as Machine Learning, Deep Learning, NLP, and Computer Vision. The curriculum integrates with AWS Cloud, allowing learners to explore real-world AI applications and deployments.
The training is delivered in clear, progressive modules covering topics such as AI fundamentals, Generative AI, reducing AI hallucinations, and strategic AI adoption for professionals and leaders. Learners gain exposure to industry use cases, including market analysis, fintech, recruitment, personal branding, and customer insights.
The course highlights AI's ability to handle multiple tasks simultaneously, similar to large-scale data systems, while emphasizing ethics, responsible AI practices, and future trends. Learners explore AI implementation across finance, education, e-commerce, and smart automation, mirroring technologies already used by modern data-driven companies.
By the end of the program, participants are prepared to build scalable, intelligent, and ethical AI solutions, enhancing career opportunities in Artificial Intelligence and Data Science.
Requirements
To join the Generative AI Training Course, learners should have:
- Basic computer proficiency
- High-school-level math knowledge (recommended)
- A keen interest in AI and its practical uses
- Access to the internet for cloud-based AI platforms like AWS
Target Audience
The target audiences for the Generative AI Training Course are:
- Students and aspiring AI professionals
- Business leaders and decision-makers
- Data analysts and tech enthusiasts
- Researchers, educators, and content creators
- Entrepreneurs exploring AI solutions
