The International Business Machines Corporation (IBM) Generative AI Engineering Professional Certificate is a comprehensive course designed to equip participants with the essential skills needed for careers in generative AI, machine learning, and deep learning. This course focuses on hands-on experience, allowing participants to develop and deploy AI applications, chatbots, and agents using advanced programming libraries such as Python, Flask, and PyTorch. In just six months, learners will acquire the expertise required for high-demand roles in the AI industry, including expertise in NLP, LLMs, and transformer-based models like BERT and GPT.

Throughout the program, participants will gain practical knowledge in AI fundamentals, data analysis, and machine learning algorithms. They will also explore cutting-edge techniques such as prompt engineering, model fine-tuning, and working with generative AI frameworks. This course is ideal for beginners and provides a step-by-step path to mastering generative AI concepts and building real-world applications. The program includes a guided project that enables participants to create their own AI-driven solutions, giving them valuable experience to discuss in job interviews.

Upon completion, participants will earn a professional certificate from IBM, which can be showcased on their resume and LinkedIn profile. The course offers career resources, including resume reviews and interview prep, making it a great option for anyone looking to advance their career in AI development.

Key Details and Dates

• Application Deadline: Ongoing enrollment
• Funding Type: Paid
• Offered by: International Business Machines Corporation (IBM)
• Host Platform: Coursera
• Eligible Countries: Worldwide
• Eligible Gender: Male/Female
• Target Group: Beginners and anyone interested in AI development
• Field: Artificial Intelligence, Machine Learning
• Study Level: Beginner
• Duration: 6 months (6 hours per week)
• Certificate: Yes, Certificate from IBM
• Program Language: English
• Host Country: Online

Benefits

Participants will benefit from the course as follows:

• Gain job-ready skills in generative AI, machine learning, and deep learning
• Earn a professional certificate from IBM
• Access to career resources, including resume review and interview preparation
• Build real-world AI applications through hands-on projects
• Learn at your own pace with flexible scheduling
• Gain practical experience in deploying AI models and applications

Skills You’ll Gain

Participants will learn the following skills:

• Machine Learning
• Deep Learning
• Artificial Neural Networks
• Machine Learning Algorithms
• Python Programming
• Natural Language Processing (NLP)
• Software Testing
• Applied Machine Learning
• Network Architecture
• Network Models
• Human Learning
• Algorithms

Course List

This course comprises a series of 16 courses as follows:

• Introduction to Artificial Intelligence (AI)
• Generative AI: Introduction and Applications
• Generative AI: Prompt Engineering Basics
• Python for Data Science, AI & Development
• Developing AI Applications with Python and Flask
• Building Generative AI-Powered Applications with Python
• Data Analysis with Python
• Machine Learning with Python
• Introduction to Deep Learning & Neural Networks with Keras
• Generative AI and LLMs: Architecture and Data Preparation
• Gen AI Foundational Models for NLP & Language Understanding
• Generative AI Language Modeling with Transformers
• Generative AI Engineering and Fine-Tuning Transformers
• Generative AI Advance Fine-Tuning for LLMs
• Fundamentals of AI Agents Using RAG and LangChain
• Project: Generative AI Applications with RAG and LangChain

Eligibility Criteria

The course requirements are as follows:

• No prior AI or programming experience is required
• Enthusiasm for learning AI and software development
• Access to a computer with an internet connection for online learning

How to Apply?

Follow these steps for enrolling in this course:

• Visit the Coursera platform
• Search for the IBM Generative AI Engineering Professional Certificate
• Enroll in the course
• Start learning at your own pace

Apply Now

For more information and to enroll in the program, visit the official Coursera platform.

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