AI+ Developer™ Course & Examination
Instructor-led
This program is designed for developers. It offers structured learning in key AI domains. The syllabus includes everything from fundamental Python mastery to advanced topics. Participants will learn to process and analyze data, build AI models, explain how AI models work, and deploy them in real time.
Purchase our self-paced online course, or Request a Quote for your team.
Course Overview
The AI+ Developer™ Certification helps you master innovative technology and
advance your career in Artificial Intelligence (AI). Within this certification, you will
cover various topics such as python programming, advanced AI methods, linear
algebra, calculus, probability, statistics, data structures, and control flow to thrive in
this dynamic sector. Learners will master Deep Learning (DL), Neural Networks, and
GANs, applying them to exciting AI applications such as image processing, object
identification, text categorization, and question-answering systems will be
demonstrated.
Engage in hands-on exercises and real-world case studies in sectors like healthcare,
finance, and autonomous driving, which will help you to gain practical experience
and insights. In this certification, you will learn to use AWS, Azure, and Google Cloud
for AI development and deployment, and train and optimize GPT-4 and BERT language models. You will also learn about AI ethics, ensuring fairness, transparency, and accountability in AI systems. Completing this certification boosts your professional credibility and will be recognized globally by employers as proof of your AI expertise.
Why AI+ Developer
- Master Key AI Development Skills: Learn Python, deep learning, advanced concepts, and optimization techniques to build robust AI solutions.
- Specialize in Cutting-Edge AI Domains: Gain expertise in NLP, computer vision, or reinforcement learning, alongside data processing, exploratory analysis, and time series analysis.
- Stay Ahead in AI Development: AI is transforming industries, and organizations seek developers with strong proficiency in deploying AI models to solve real-world problems.
- Advance Your Career in AI Development: With growing demand across tech, finance, and healthcare sectors, this certification positions you as a leader in AI-driven development.
Course Modules
Module 1: Foundation of Artificial Intelligence (AI)
- 1.1 Introduction to AI
- 1.2 Types of Artificial Intelligence
- 1.3 Branches of Artificial Intelligence
- 1.4 Applications and Business Use Cases
Module 2: Mathematical Concepts for AI
- 2.1 Linear Algebra
- 2.2 Calculus
- 2.3 Probability and Statistics
- 2.4 Discrete Mathematics
Module 3: Python for Developer
- 3.1 Python Fundamentals
- 3.2 Python Libraries
Module 4: Mastering for Machine Learning
- 4.1 Introduction to Machine Learning
- 4.2 Supervised Machine Learning Algorithms
- 4.3 Unsupervised Machine Learning Algorithms
- 4.4 Model Evaluation and Selection
Module 5: Deep Learning
- 5.1 Neural Networks
- 5.2 Improving Model Performance
- 5.3 Hands-on: Evaluating and Optimizing AI Models
Module 6: Computer Vision
- 6.1 Image Processing Basics
- 6.2 Object Detection
- 6.3 Image Segmentation
- 6.4 Generative Adversarial Networks (GANs)
Module 7: Natural Language Processing
- 7.1 Text Preprocessing and Representation
- 7.2 Text Classification
- 7.3 Named Entity Recognition (NER)
- 7.4 Question Answering (QA)
Module 8: Reinforcement Learning
- 8.1 Introduction to Reinforcement Learning
- 8.2 Q-Learning and Deep Q-Networks (DQNs)
- 8.3 Policy Gradient Methods
Module 9: Cloud Computing in AI Development
- 9.1 Cloud Computing for AI
- 9.2 Cloud-Based Machine Learning Services
Module 10: Large Language Models
- 10.1 Understanding LLMs
- 10.2 Text Generation and Translation
- 10.3 Question Answering and Knowledge Extraction
Module 11: Cutting-Edge AI Research
- 11.1 Neuro-Symbolic AI
- 11.2 Explainable AI (XAI)
- 11.3 Federated Learning
- 11.4 Meta-Learning and Few-Shot Learning
Module 12: AI Communication and Documentation
- 12.1 Communicating AI Projects
- 12.2 Documenting AI Systems
- 12.3 Ethical Considerations
Optional Module: AI Agents for Developers
- 1. Understanding AI Agents
- 2. Case Studies
- 3. Hands-On Practice with AI Agents
Learning Outcomes
- Comprehensive exploration of AI, focusing on fundamental and advanced topics.
- In-depth instruction on Python programming essential for AI development.
- Study Natural Language Processing (NLP), Computer Vision, and Reinforcement Learning (RL) to prepare for specialized AI tasks.
- Understand Cloud platforms for AI development and deployment which provide
scalability, efficiency, and access to powerful computational resources.
- Explore AI's ethical and social implications, emphasizing responsible AI practices
and the broader influence of AI technology on society.
AI Tools
You will master the following AI tools in our AI+ Developer course
|
GitHub Copilot |
Lobe |
|
|
|
Who Should Attend
- Software Developers: Enhance your coding expertise by mastering AI algorithms and deep learning techniques.
- Data Enthusiasts: Apply AI-driven data analysis, machine learning models, and deep learning to solve complex problems.
- Computer Vision & NLP Researchers: Dive into specialized AI fields, including computer vision and natural language processing.
- IT Specialists & System Architects: Integrate AI solutions into existing systems and optimize performance.
- Students & Fresh Graduates: Build a strong foundation in AI development and prepare for future opportunities in tech
Delivery options
AI+ Developer is available as a self-paced online course or instructor-led.
Instructor-led: Held over 5 days, it is an intensive week of training which includes live demos, hands-on labs, real-time Q&A and peer collaboration. This course can be delivered onsite at your premises or in our virtual classroom. Request a quote for your team
Self-Paced online: 30-hours of on-demand video lessons, e-book and podcasts. Access to your own online learning portal for 12-months to work through and certify. Learn anywhere, anytime, with modular quizzes to track progress.
Pre-requisites
- Basic math, including familiarity with high school-level algebra and basic statistics, is desirable.
- Understanding basic programming concepts such as variables, functions, loops, and data structures like lists and dictionaries is essential.
- A fundamental knowledge of programming skills is required.
Exam & Certification
This course prepares participants for the examination leading to AI+ Developer certification. The exam is held online via a proctored exam platform.
- Duration: 90 minutes
- Questions: 50 multiple-choice/multiple-response
- Passing mark: 70% (35 questions correct out of 50 questions)
- Delivery: completed online via your AI Certs learning portal
- A digital certification will be provided upon passing
Exam Blueprint:
- Foundations of Artificial Intelligence (AI) - 5%
- Mathematical Concepts for AI - 5%
- Python for AI Development - 10%
- Mastering Machine Learning - 15%
- Deep Learning - 10%
- Computer Vision - 10%
- Natural Language Processing (NLP) - 15%
- Reinforcement Learning - 5%
- Cloud Computing in AI Development - 10%
- Large Language Models (LLMs) - 5%
- Cutting-Edge AI Research - 5%
- AI Communication and Documentation - 5%
Course Materials & Inclusions
One-year subscription to the AI+ course materials, these are regularly updated to ensure the latest developments are included in your courseware. This includes:
- High-Quality Videos, E-book (PDF & Audio), and Podcasts
- AI Mentor for Personalised Guidance
- Quizzes, Assessments, and Course Resources
- Comprehensive Exam Study Guide
- Official AI+ Certification Online Proctored Exam
- One Free Exam Retake
You will receive a digital certification upon passing the online examination.
Recent customers
An amazing instructor who explained the content very clearly and at a very good pace. This was a good balance and approach. I found the worked examples very practical and very relatable to the Defence industry sector I work in.
Really good facilitation, kept me interested and shared so many practical applications.
Gave me a better understanding of concepts, theories and tools to formalise and improve my current relationship management.
The instructor was very professional and was able to explain each area thoroughly and is available for Q&A.
Learnt a lot that we can implement or improve on in our organisation. The presenter was clear, precise and could relate difficult concepts into language and scenarios we could relate to. Everyone came away from the course feeling that had learnt something valuable.
Catholic Education, Brisbane
The examples provided by the instructor as we were covering of material, made everything make sense. This helped during the exam. Pat was fantastic and engaging. Kept everyone on their toes and ensured he took the time to explain anything we were not clear on.
BAI Communications
The instructor was great and very interactive. He made sure we understood the material and gave ample opportunity for us to ask questions. He provided great examples which tied everything in.
You may also like
Back to Artificial Intelligence Course