Generative AI Courses

The Data Science course equips learners with essential skills for a data science career through hands-on projects and portfolio development. The course offers a comprehensive exploration of statistics, machine learning, and data processing using Python libraries like NumPy and Pandas. Delivered online, participants will engage with real-world datasets and tools, ensuring practical understanding and readiness for industry challenges. Before You Learn / Who This Course Is For Ideal for aspiring data scientists and analysts No prerequisites required Suitable for both technical and non-technical backgrounds What to Expect Online, self-paced learning with hands-on projects Utilize Python libraries: NumPy, Pandas, Matplotlib Collaborate using Git and cloud services What You'll Achieve Create multiple portfolio pieces showcasing skills Master data processing including time series and NLP Develop practical, industry-ready data science skills

Colaberry's Data Science program is designed for aspiring data scientists seeking essential skills. This comprehensive program includes three 8-week courses covering Python, machine learning fundamentals, and advanced mathematics and statistics. Students benefit from hands-on learning and receive one year of on-the-job support after graduation, ensuring they are well-prepared for the data science field. Before You Learn / Who This Course Is For Aspiring data scientists seeking foundational skills Ideal for learners with analytical interest No specific prerequisites required What to Expect Structured into three 8-week courses Hands-on learning with Python and machine learning Includes advanced math and statistics training What You'll Achieve Receive one year of on-the-job support Gain essential data science skills Prepare for a career in data science

Zindua School's Artificial Intelligence Specialisation is a part-time, 12-week program designed for data scientists eager to advance beyond classical machine learning. Delivered online, the course covers deep learning, generative AI, and practical applications using TensorFlow, Keras, and LangChain. Participants engage in hands-on projects, culminating in an end-to-end GenAI capstone, equipping graduates with a portfolio of production-ready AI solutions. Before You Learn / Who This Course Is For Designed for practicing data scientists Ideal for those expanding beyond classical ML No specific prerequisites listed What to Expect Part-time, 12-week online format Hands-on projects with TensorFlow and Keras Capstone project featuring end-to-end GenAI What You'll Achieve Portfolio of production-ready AI projects Skills in designing and deploying DL systems

Barcelona Code School's Machine Learning and AI Engineering Bootcamp is a 13-week, part-time course designed to teach students how to build and understand AI systems, moving beyond traditional black-box usage. The program offers flexible learning through text and video materials, supplemented by 1:1 mentor guidance. Participants will explore advanced topics in machine learning, deep learning, and AI, with a focus on hands-on project-based learning. Before You Learn / Who This Course Is For Open to anyone eager to build AI systems Designed for learners with a passion for deep learning No specific prerequisites required What to Expect 13-week part-time mentored format Flexible schedule with text and video materials Regular 1:1 sessions with instructors What You'll Achieve Industry-recognized graduation certificate Skills in AI development with BERT and GPT Proficiency in building neural networks and language models

KeepCoding's UX/UI Full Stack Bootcamp is designed to teach students how to enhance user experience on web and mobile applications. This online, project-based course covers the essentials of user interface design using tools like Figma. Participants will gain hands-on experience through real-world projects, ensuring they acquire practical skills applicable to the current job market. Before You Learn / Who This Course Is For Ideal for aspiring UX/UI designers Open to both technical and non-technical learners No prerequisites required What to Expect Online, project-based learning format Hands-on experience with real projects Focus on Figma and other industry tools What You'll Achieve Master UX/UI design for web and mobile Gain practical skills with market-demand tools

The Game Programming Bootcamp at Flatiron School offers an immersive, project-based learning experience focused on essential game development skills. This online program covers C++, Unreal Engine, game mechanics, UX/UI, audio design, AI, and memory management. Designed for those aiming to enter the game development industry, it provides hands-on practice through real-world projects guided by experienced instructors. Before You Learn / Who This Course Is For Aspiring game developers and designers Ideal for those passionate about gaming and technology No prerequisites required What to Expect Project-based learning with real-world applications Hands-on practice with C++ and Unreal Engine Guidance on UX/UI and audio design What You'll Achieve Mastery of essential game development tools and techniques Ability to build and design interactive games

This course empowers students to enhance efficiency and drive innovation through generative AI. Offered online, the course provides a blend of self-paced learning and live sessions, focusing on practical applications of AI in various contexts. Participants will engage in project-based learning, gaining skills in AI-driven innovation and problem-solving. Before You Learn / Who This Course Is For Designed for both technical and non-technical learners Ideal for professionals seeking innovation techniques No prerequisites required What to Expect Combination of self-paced study and live sessions Project-based learning for practical application Focus on generative AI tools and methods What You'll Achieve Gain skills in AI-driven efficiency and innovation Apply AI skills in real-world scenarios

This 10-month course transforms beginners into AI Engineers and GenAI Developers. Through live sessions and self-study, participants learn Python, backend development, and large language model integration. The program includes building retrieval-augmented generation systems and designing AI agents, with comprehensive mentorship and career support. Before You Learn / Who This Course Is For Beginners with no prior experience Aspiring GenAI Developers and AI Engineers No prerequisites required What to Expect Live sessions with industry experts Self-study and 1:1 mentoring 24/7 support and unlimited career advice What You'll Achieve Integrate LLMs like GPT-4 into applications Certification: PCEP, PCAP, IHK 'Project Manager'

Intellipaat's Generative AI course provides an in-depth exploration of foundation models, prompt engineering, and GPT models. Delivered online, the course offers hands-on experience with tools like ChatGPT and DALL·E, guided by experienced industry professionals. Participants will engage in practical applications, enhancing their skills in building generative AI solutions for real-world scenarios. Before You Learn / Who This Course Is For Ideal for technical professionals and AI enthusiasts No prerequisites required; open to all learners Designed for those interested in AI applications What to Expect Online, self-paced learning format Hands-on projects using ChatGPT and DALL·E Guidance from industry experts and top faculty What You'll Achieve Gain practical skills in generative AI applications Apply knowledge to real-world use cases

Edureka’s Generative AI Master’s Program is a 150-hour online curriculum designed to fast-track your expertise in generative models, data science, and agentic AI. Students will master core foundations, such as Python, machine learning, natural language processing, and deep learning, before advancing to topics like large language models, RAG, multi-agent systems, and architecture design. Students will have access to hands-on projects and more than 50 labs. Before You Learn / Who This Course Is For Individuals with some programming and machine learning foundation seeking to specialize in generative AI (even intermediate users) Professionals aiming to transition into roles like prompt engineer, AI engineer, or generative systems developer Learners who want a structured, project-driven curriculum What to Expect Integrated modules combining theory, labs, and projects spanning Python, NLP, LLMs, prompt design, and agentic systems 5+ end-to-end projects and 50+ hands-on labs to build a portfolio with real applications Flexible pacing with lifetime access to course materials and updates What You’ll Achieve Proficiency in designing prompts, building generative systems, deploying RAG pipelines, and working with agentic architectures A polished project portfolio demonstrating end-to-end GenAI applications A certification from Edureka validating your skills and enhancing market credibility