{"id":55665,"date":"2025-03-18T09:02:42","date_gmt":"2025-03-18T09:02:42","guid":{"rendered":"https:\/\/ctraining.co.il\/?post_type=course&#038;p=55665"},"modified":"2026-02-12T07:08:01","modified_gmt":"2026-02-12T07:08:01","slug":"ai-developer-course","status":"publish","type":"course","link":"https:\/\/ctraining.co.il\/en\/course\/ai-developer-course\/","title":{"rendered":"AI Engineering Course"},"content":{"rendered":"<h2 dir=\"ltr\">About This Course<\/h2>\n<p dir=\"ltr\">This course provides an in-depth and practical foundation for becoming an AI Developer. It is designed for technical professionals seeking to build, train, and deploy AI models using real-world tools and frameworks. Participants will explore machine learning, deep learning, and generative AI while developing and deploying intelligent applications using Python, TensorFlow\/Keras, and cloud services. The course also emphasizes ethical AI development and prepares learners for real-world integration and deployment.<\/p>\n<h2 dir=\"ltr\">Audience Profile<\/h2>\n<p dir=\"ltr\">This course is intended for:<br \/>\n\u2022 Developers and software engineers<br \/>\n\u2022 Data scientists and analysts<br \/>\n\u2022 Technical professionals interested in AI development<br \/>\n\u2022 Individuals aiming to build and deploy AI models in production environments<\/p>\n<h2 style=\"text-align: left;\">Course Outline<\/h2>\n<p dir=\"ltr\" style=\"text-align: left;\"><strong>Module 1: Introduction to AI Development<\/strong><\/p>\n<ul dir=\"ltr\" style=\"text-align: left;\">\n<li>AI vs ML vs Deep Learning: Key distinctions<\/li>\n<li>Overview of AI development lifecycle<\/li>\n<li>Setting up the AI development environment (Python, Jupyter, Colab) Learning Outcomes:<\/li>\n<li>Understand AI development stages<\/li>\n<li>Set up tools for AI development<\/li>\n<li>Recognize key AI domains and use cases<\/li>\n<\/ul>\n<p dir=\"ltr\" style=\"text-align: left;\"><strong>Module 2: Python for AI Developers<\/strong><\/p>\n<ul dir=\"ltr\" style=\"text-align: left;\">\n<li>Essential Python libraries: Numpy, Pandas, Matplotlib<\/li>\n<li>Data preprocessing and feature engineering<\/li>\n<li>Exploratory Data Analysis (EDA) for AI models Learning Outcomes:<\/li>\n<li>Process and analyze data<\/li>\n<li>Prepare data for model input<\/li>\n<li>Visualize and interpret datasets<\/li>\n<\/ul>\n<p dir=\"ltr\" style=\"text-align: left;\"><strong>Module 3: Machine Learning Algorithms<\/strong><\/p>\n<ul dir=\"ltr\" style=\"text-align: left;\">\n<li>Supervised and Unsupervised Learning (Regression, Classification, Clustering)<\/li>\n<li>Building ML models with Scikit-learn<\/li>\n<li>Model evaluation and optimization techniques Learning Outcomes:<\/li>\n<li>Build ML models from scratch<\/li>\n<li>Evaluate and optimize ML models<\/li>\n<li>Select the right algorithm for the problem<\/li>\n<\/ul>\n<p dir=\"ltr\" style=\"text-align: left;\"><strong>Module 4: Deep Learning with Neural Networks<\/strong><\/p>\n<ul dir=\"ltr\" style=\"text-align: left;\">\n<li>Neural Networks: Architecture and training process<\/li>\n<li>Using TensorFlow and Keras to build models<\/li>\n<li>Applications: Image classification and basic NLP Learning Outcomes:<\/li>\n<li>Build deep learning models<\/li>\n<li>Train and evaluate neural networks<\/li>\n<li>Apply DL models to real-world tasks<\/li>\n<\/ul>\n<p dir=\"ltr\" style=\"text-align: left;\"><strong>Module 5: Natural Language Processing (NLP)<\/strong><\/p>\n<ul dir=\"ltr\" style=\"text-align: left;\">\n<li>Text preprocessing, tokenization, and embeddings<\/li>\n<li>Sentiment analysis and text classification<\/li>\n<li>Introduction to Transformers (BERT, GPT) Learning Outcomes:<\/li>\n<li>Process and analyze text data<\/li>\n<li>Build NLP models<\/li>\n<li>Utilize pre-trained language models<\/li>\n<\/ul>\n<p dir=\"ltr\" style=\"text-align: left;\"><strong>Module 6: Generative AI and Large Language Models (LLMs)<\/strong><\/p>\n<ul dir=\"ltr\" style=\"text-align: left;\">\n<li>Overview of Generative AI and LLMs<\/li>\n<li>Using OpenAI API and other LLM platforms<\/li>\n<li>Fine-tuning models for specific tasks Learning Outcomes:<\/li>\n<li>Understanding LLM capabilities<\/li>\n<li>Use LLMs for content generation<\/li>\n<li>Customize AI model outputs<\/li>\n<\/ul>\n<p dir=\"ltr\" style=\"text-align: left;\"><strong>Module 7: Model Deployment and Integration<\/strong><\/p>\n<ul dir=\"ltr\" style=\"text-align: left;\">\n<li>Deploying AI models using Flask, FastAPI, and Streamlit<\/li>\n<li>Creating APIs for AI model access<\/li>\n<li>Dockerizing AI applications for deployment Learning Outcomes:<\/li>\n<li>Deploy models as web services<\/li>\n<li>Create scalable AI APIs<\/li>\n<li>Package and deploy using Docker<\/li>\n<\/ul>\n<p dir=\"ltr\" style=\"text-align: left;\"><strong>Module 8: AI in the Cloud (AWS, Azure, GCP)<\/strong><\/p>\n<ul dir=\"ltr\" style=\"text-align: left;\">\n<li>Overview of AI services in the cloud<\/li>\n<li>Training and deploying models in cloud environments<\/li>\n<li>Serverless AI workflows and automation Learning Outcomes:<\/li>\n<li>Utilize cloud AI tools<\/li>\n<li>Deploying AI models at scale<\/li>\n<li>Automate workflows using cloud platforms<\/li>\n<\/ul>\n<p dir=\"ltr\" style=\"text-align: left;\"><strong>Module 9: AI Ethics, Bias, and Responsible Development<\/strong><\/p>\n<ul dir=\"ltr\" style=\"text-align: left;\">\n<li>Understanding AI fairness and bias<\/li>\n<li>Ensuring transparency and explainability<\/li>\n<li>Ethical deployment of AI models Learning Outcomes:<\/li>\n<li>Develop responsible AI applications<\/li>\n<li>Identify and mitigate AI bias<\/li>\n<li>Implement explainable AI practices<\/li>\n<\/ul>\n<p dir=\"ltr\" style=\"text-align: left;\"><strong>Module 10: Final Project: Full AI Application Development<\/strong><\/p>\n<ul dir=\"ltr\" style=\"text-align: left;\">\n<li>Define and scope a real-world AI use case<\/li>\n<li>Build, train, and deploy an AI solution<\/li>\n<li>Present and document the end-to-end AI workflow Learning Outcomes:<\/li>\n<li>Execute a complete AI project<\/li>\n<li>Integrate AI into an application<\/li>\n<li>Present AI-driven solutions professionally<\/li>\n<\/ul>\n<h2 dir=\"ltr\" style=\"text-align: left;\">Prerequisites<\/h2>\n<p dir=\"ltr\" style=\"text-align: left;\">Participants should have:<\/p>\n<ul dir=\"ltr\">\n<li style=\"text-align: left;\">Basic programming knowledge (preferably in Python)<\/li>\n<li style=\"text-align: left;\">Familiarity with software development concepts<\/li>\n<li style=\"text-align: left;\">Interest in AI, data, and building intelligent applications<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>About This Course This course provides an in-depth and practical foundation for becoming an AI Developer. It is designed for technical professionals seeking to build, train, and deploy AI models using real-world tools and frameworks. Participants will explore machine learning, deep learning, and generative AI while developing and deploying intelligent applications using Python, TensorFlow\/Keras, and [&hellip;]<\/p>\n","protected":false},"featured_media":46771,"template":"","meta":{"_acf_changed":false,"inline_featured_image":false},"tags":[5470,4390,5468,5665,5469,5237,5666],"coursetype":[5471],"product":[5151],"audience":[],"class_list":["post-55665","course","type-course","status-publish","has-post-thumbnail","hentry","tag-808-en","tag-ai-en","tag-ai-developer-en","tag-ai-engineering","tag-ctr-808-en","tag-developer","tag-engineering","coursetype-ai-courses","product-power-bi-en"],"acf":[],"_links":{"self":[{"href":"https:\/\/ctraining.co.il\/en\/wp-json\/wp\/v2\/course\/55665","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ctraining.co.il\/en\/wp-json\/wp\/v2\/course"}],"about":[{"href":"https:\/\/ctraining.co.il\/en\/wp-json\/wp\/v2\/types\/course"}],"version-history":[{"count":0,"href":"https:\/\/ctraining.co.il\/en\/wp-json\/wp\/v2\/course\/55665\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/ctraining.co.il\/en\/wp-json\/wp\/v2\/media\/46771"}],"wp:attachment":[{"href":"https:\/\/ctraining.co.il\/en\/wp-json\/wp\/v2\/media?parent=55665"}],"wp:term":[{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ctraining.co.il\/en\/wp-json\/wp\/v2\/tags?post=55665"},{"taxonomy":"coursetype","embeddable":true,"href":"https:\/\/ctraining.co.il\/en\/wp-json\/wp\/v2\/coursetype?post=55665"},{"taxonomy":"product","embeddable":true,"href":"https:\/\/ctraining.co.il\/en\/wp-json\/wp\/v2\/product?post=55665"},{"taxonomy":"audience","embeddable":true,"href":"https:\/\/ctraining.co.il\/en\/wp-json\/wp\/v2\/audience?post=55665"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}