Weekly Breakdown IBM AI Developer Professional Certificate

table of CONTENT

COURSE 1: INTRODUCTION TO SOFTWARE ENGINEERING
COURSE 2: INTRODUCTION TO ARTIFICIAL INTELLIGENCE (AI)
COURSE 3: GENERATIVE AI: INTRODUCTION AND APPLICATIONS
COURSE 4: GENERATIVE AI: PROMPT ENGINEERING BASICS
COURSE 5: INTRODUCTION TO HTML, CSS, & JAVASCRIPT
COURSE 6: PYTHON FOR DATA SCIENCE, AI & DEVELOPMENT
COURSE 7: DEVELOPING AI APPLICATIONS WITH PYTHON AND FLASK
COURSE 8: BUILDING GENERATIVE AI-POWERED APPLICATIONS WITH PYTHON
COURSE 9: GENERATIVE AI: ELEVATE YOUR SOFTWARE DEVELOPMENT CAREER
COURSE 10: SOFTWARE DEVELOPER CAREER GUIDE AND INTERVIEW PREPARATION

1. INTRODUCTION TO SOFTWARE ENGINEERING

This course delves into the core elements of the Software Development Lifecycle (SDLC) and introduces you to contemporary software development methodologies, including Agile and Scrum. You’ll explore fundamental programming principles and foundational concepts in design, architecture, and deployment. Practical, hands-on labs enhance your learning experience, featuring tasks such as setting up an Integrated Development Environment (IDE), programming basics in Python, and creating “Hello World” programs in ten different languages.

2. INTRODUCTION TO ARTIFICIAL INTELLIGENCE (AI)

This course introduces core AI concepts, including deep learning, machine learning, and neural networks. You’ll explore generative AI models like large language models (LLMs) and their capabilities, delving into their application across natural language processing (NLP), computer vision, and robotics.

Discover how AI, particularly generative AI, transforms businesses and drives innovation. You’ll also learn about AI’s potential to revolutionize your work environment and explore emerging career opportunities in the field of artificial intelligence.

Module 1 – What is AI? Applications and Examples of AI
Module 2 – AI Concepts, Terminology, and Applications Areas
Module 3 – AI: Issues, Concerns and Ethical Considerations
Module 4 – The Future with AI, and AI in Action

3. GENERATIVE AI: INTRODUCTION AND APPLICATIONS

In this course, you will explore the fundamentals and evolution of generative AI, delving into its capabilities across various domains including text, images, audio, video, virtual worlds, code, and data. You’ll examine the applications of generative AI across different sectors and industries, and gain insights into popular models and tools such as GPT, DALL-E, Stable Diffusion, and Synthesia.

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4. GENERATIVE AI: PROMPT ENGINEERING BASICS

This course caters to professionals, executives, students, and AI enthusiasts aiming to master prompt engineering for generative AI tools like ChatGPT. Prompt engineering is the art of crafting inputs to effectively guide generative AI models to produce the desired output.

You’ll learn essential techniques and best practices for writing effective prompts, including zero-shot and few-shot prompting to enhance the reliability and quality of large language models (LLMs). Additionally, you’ll explore advanced prompt engineering approaches such as the Interview Pattern, Chain-of-Thought, and Tree-of-Thought to generate accurate and relevant responses.

5. INTRODUCTION TO HTML, CSS, & JAVASCRIPT

In this module, you’ll start by exploring the roles of front-end, back-end, and full-stack developers and their collaboration in development projects. You’ll also get acquainted with the essential terminology and skills required for a career in web development.

Next, you’ll delve into the foundational languages for web development. You’ll gain a solid grasp of HTML and CSS, learning how to use these technologies to structure and style websites effectively.

Finally, you’ll discover how JavaScript can add interactivity to your web pages, enabling features such as dynamic content, interactive forms, and advanced menu systems.

Module 1 – HTML Overview
Module 2 – CSS Overview & HTML5 Elements
Module 3 – JavaScript Programming for Web Applications
Module 4 – Career Opportunities and Final Project

6. PYTHON FOR DATA SCIENCE, AI & DEVELOPMENT

This course provides a comprehensive introduction to Python, taking you from zero to proficient in programming within hours—no previous programming experience required! You’ll begin with the basics of Python and its various data types, then move on to exploring essential data structures like lists and tuples.

You’ll gain a solid understanding of logic concepts such as conditions and branching. Additionally, you’ll work with popular Python libraries like Pandas, NumPy, and Beautiful Soup. By the end of the course, you’ll be adept at using Python for tasks such as data collection and web scraping with APIs.

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7. DEVELOPING AI APPLICATIONS WITH PYTHON AND FLASK

In this course, you’ll apply your foundational Python skills to develop web applications and AI-powered solutions. You will learn to use various techniques to build these applications, including utilizing Flask and Watson AI libraries.

By the end of the course, you’ll have completed another project for your portfolio, equipping you with the confidence to start developing AI-enabled applications. You’ll also gain experience in building and running unit tests and packaging your applications for real-world distribution.

Module 1 – Python Coding Practices and Packaging Concepts
Module 2 – Web App Deployment Using Flask
Module 3 – Creating AI Applications and Deploy Using Flask

8. BUILDING GENERATIVE AI-POWERED APPLICATIONS WITH PYTHON

This course offers guided projects where you’ll receive step-by-step instructions to build generative AI-powered applications. You will utilize Python with libraries like Flask and Gradio, and frameworks such as Langchain.

Throughout the course, you will create chatbots and applications using popular large language models (LLMs) like GPT-3 and Llama 2, hosted on platforms such as IBM watsonx and Hugging Face. You will also explore retrieval-augmented generation (RAG) technology, which enhances LLMs by integrating external data beyond their training sets. Additionally, you’ll develop voice-enabled chatbots and applications using IBM Watson® Speech Libraries for Embed.

9. GENERATIVE AI: ELEVATE YOUR SOFTWARE DEVELOPMENT CAREER

Generative AI is revolutionizing software engineering, becoming an essential skill for developers. IBM’s course “Generative AI for Software Developers” equips you with a comprehensive understanding of how generative AI techniques can enhance software development.

This course offers the skills and knowledge needed to use AI-powered tools and algorithms to streamline software development processes. Through videos, hands-on exercises, demos, and projects, you will learn to utilize generative AI models to automate code generation, design and architecture, bug detection, and optimization, making your software development more efficient and innovative.

10. SOFTWARE DEVELOPER CAREER GUIDE AND INTERVIEW PREPARATION

This course is designed to equip you with the essential skills to thrive in the software engineering job market. It provides practical techniques for crafting crucial job-seeking materials such as resumes and portfolios, along with complementary tools like cover letters and elevator pitches. You’ll learn effective strategies for identifying and evaluating job opportunities, applying for them, and preparing for interviews.

Beyond job application essentials, the course offers insider tips on performing confidently during interviews. You’ll gain insights into approaching code challenges and have opportunities to practice solving them. Moreover, it covers the typical responsibilities of software engineers, career prospects, and pathways for professional growth.

Throughout the course, industry experts share their career journeys and insights into networking, interviewing techniques, tackling coding problems, and handling various candidate queries. Benefit from their experience and advice to enhance your chances of securing your desired software engineering position.

IBM AI Developer Professional Certificate

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